CN110197470A - Image processing method, device, electronic equipment and computer readable storage medium - Google Patents

Abstract

The embodiment of the present application provides a kind of image processing method, device, electronic equipment and computer readable storage medium, method includes: for each pixel in picture frame to be processed, according to the initial intensity value of default saturation degree threshold value and the pixel, determine the saturation gradation of the pixel, enhance algorithm according to the corresponding saturation degree of the saturation gradation of the pixel, enhancing processing is carried out to the initial intensity value of the pixel, obtain the alternative intensity value of the pixel, according to the brightness value of the alternative intensity value of the pixel and the pixel, obtain the target intensity value of the pixel, target intensity value based on each pixel in picture frame to be processed, the picture frame to be processed that obtains that treated.Based on above-mentioned processing, the picture quality for the picture frame that can be improved that treated.

Description

Image processing method, device, electronic device, and computer-readable storage medium

technical field

The present application relates to the technical field of image processing, in particular to an image processing method, device, electronic equipment and computer-readable storage medium.

Background technique

With the rapid development of computer technology, image frames tend to be more and more high-resolution, which results in a multiplied size of video resources composed of image frames. In order to reduce the bandwidth occupied by video resources during transmission and save network costs, it is usually necessary to perform compression processing on image frames in video resources. Compressing the image frame will reduce the image quality of the image frame to a certain extent, for example, the color of the compressed image frame is dark, or the details of the image frame will be lost.

In the prior art, usually, color enhancement processing may be performed on compressed image frames (which may be referred to as image frames to be processed), so as to improve the image quality of the image frames to be processed. For example, according to the saturation value of the pixel, the pixels in the image frame to be processed can be divided into pixels of different saturation levels, and different degrees of saturation enhancement processing can be performed for pixels of different saturation levels, and then , according to the enhanced saturation value, the image frame to be processed after color enhancement is obtained.

However, in the prior art, color enhancement processing is performed only according to the saturation of pixels, which may result in low image quality of the processed image frame.

Contents of the invention

The purpose of the embodiments of the present application is to provide an image processing method, device, electronic device, and computer-readable storage medium, which can improve the image quality of processed image frames. The specific technical scheme is as follows:

In the first aspect, in order to achieve the above purpose, the embodiment of the present application discloses an image processing method, the method comprising:

For each pixel in the image frame to be processed, according to the preset saturation threshold and the initial saturation value of the pixel, determine the saturation level of the pixel, wherein the saturation level is used to represent the pixel The initial saturation value of the high and low;

According to the saturation enhancement algorithm corresponding to the saturation level of the pixel point, the initial saturation value of the pixel point is enhanced to obtain the alternative saturation value of the pixel point;

According to the alternative saturation value of the pixel point and the brightness value of the pixel point, the target saturation value of the pixel point is obtained;

Based on the target saturation value of each pixel in the image frame to be processed, the processed image frame to be processed is obtained.

Optionally, before determining the saturation level of the pixel for each pixel in the image frame to be processed according to the preset saturation threshold and the initial saturation value of the pixel, the method further includes:

Based on the preset image smoothing algorithm, the image parameters of the U channel and the image parameters of the V channel of each pixel in the image frame to be processed are processed;

Based on the brightness value of each pixel, and the processed image parameters of the U channel and the image parameters of the V channel, obtain the respective saturation values of each pixel in the hue-saturation-brightness HSV format, as the pixels Points with their respective initial saturation values.

Optionally, before determining the saturation level of the pixel for each pixel in the image frame to be processed according to the preset saturation threshold and the initial saturation value of the pixel, the method further includes:

The preset saturation threshold is determined according to the distribution of the initial saturation values of each pixel in the image frame to be processed.

Optionally, the determining the preset saturation threshold according to the distribution of the initial saturation values of each pixel in the image frame to be processed includes:

Determine a lower limit saturation value and an upper limit saturation value according to the distribution histogram of the initial saturation value of each pixel in the image frame to be processed, wherein the initial saturation value in each pixel is less than or equal to the lower limit The proportion of pixels with saturation values is the first preset ratio, and the proportion of pixels with initial saturation values greater than or equal to the upper limit saturation value among the pixels is the second preset ratio;

Based on the lower limit saturation value, the upper limit saturation value and a first preset formula, a first saturation threshold, a second saturation threshold and a third saturation threshold are obtained, wherein the first preset formula is :

S1=max(min(T1,L),T2)

S3=min(max(T3,H),T4)

S2=(S1+S3)/2

L represents the lower limit saturation value, H represents the upper limit saturation value, S1 represents the first saturation threshold, S2 represents the second saturation threshold, S3 represents the third saturation threshold, T1 represents The first preset value, T2 represents the second preset value, T3 represents the third preset value, and T4 represents the fourth preset value;

The first saturation threshold, the second saturation threshold, and the third saturation threshold are used as the preset saturation threshold.

Optionally, for each pixel in the image frame to be processed, the saturation level of the pixel is determined according to the preset saturation threshold and the initial saturation value of the pixel, including:

For each pixel in the image frame to be processed, if the initial saturation value of the pixel is less than the first saturation threshold, determine the saturation level of the pixel as the first saturation level;

If the initial saturation value of the pixel is not less than the first saturation threshold and is less than the second saturation threshold, determine that the saturation level of the pixel is the second saturation level;

If the initial saturation value of the pixel is not less than the second saturation threshold and is less than the third saturation threshold, determine that the saturation level of the pixel is the third saturation level;

If the initial saturation value of the pixel is not less than the third saturation threshold, determine that the saturation level of the pixel is the fourth saturation level.

Optionally, performing enhancement processing on the initial saturation value of the pixel according to the saturation enhancement algorithm corresponding to the saturation level of the pixel to obtain an alternative saturation value of the pixel, including:

If the saturation level of the pixel is the first saturation level, the product of the initial saturation value of the pixel and the first preset coefficient is used as an alternative saturation value of the pixel;

If the saturation level of the pixel is the second saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a second preset formula, wherein the first The second preset formula is:

Z represents the alternative saturation value of the pixel, C represents the initial saturation value of the pixel, S1 represents the first saturation threshold, S2 represents the second saturation threshold, and A1 represents the second preset coefficient , T5 represents the fifth preset value;

If the saturation level of the pixel is the third saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a third preset formula, wherein the first The three preset formulas are:

S3 represents the third saturation threshold, A2 represents the third preset coefficient, T6 represents the sixth preset value, and T7 represents the seventh preset value;

If the saturation level of the pixel is the fourth saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a fourth preset formula, wherein the fourth The four preset formulas are:

Z=A3×(C-1)+1

A3 represents the fourth preset coefficient.

Optionally, the obtaining the target saturation value of the pixel according to the alternative saturation value of the pixel and the brightness value of the pixel includes:

Obtain the average value of the brightness values of the pixels in the image area of the preset size to which the pixel belongs, as the average brightness value corresponding to the pixel;

According to the alternative saturation value of the pixel, the brightness value of the pixel, the average brightness value corresponding to the pixel and the fifth preset formula, the target saturation value of the pixel is obtained, wherein the fifth The default formula is:

M represents the target saturation value of the pixel, Z represents the alternative saturation value of the pixel, A4 represents the fifth preset coefficient, N represents the brightness value of the pixel, Indicates the average brightness value corresponding to the pixel point, and r indicates the correlation coefficient between brightness and saturation.

In the second aspect, in order to achieve the above purpose, the embodiment of the present application also discloses an image processing device, the device includes:

The first determination module is configured to determine the saturation level of the pixel point for each pixel point in the image frame to be processed according to the preset saturation threshold value and the initial saturation value of the pixel point, wherein the saturation level Level is used to indicate the level of the initial saturation value of the pixel;

The first processing module is configured to perform enhancement processing on the initial saturation value of the pixel point according to the saturation enhancement algorithm corresponding to the saturation level of the pixel point, to obtain an alternative saturation value of the pixel point;

The second processing module is used to obtain the target saturation value of the pixel according to the alternative saturation value of the pixel and the brightness value of the pixel;

A generating module, configured to obtain the processed image frame to be processed based on the target saturation value of each pixel in the image frame to be processed.

Optionally, the device also includes:

The third processing module is configured to process the image parameters of the U channel and the image parameters of the V channel of each pixel in the image frame to be processed based on a preset image smoothing algorithm;

Based on the brightness value of each pixel, and the processed image parameters of the U channel and the image parameters of the V channel, obtain the respective saturation values of each pixel in the hue-saturation-brightness HSV format, as the pixels Points with their respective initial saturation values.

Optionally, the device also includes:

The second determination module is configured to determine the preset saturation threshold according to the distribution of the initial saturation values of each pixel in the image frame to be processed.

Optionally, the second determining module is specifically configured to determine a lower limit saturation value and an upper limit saturation value according to a distribution histogram of initial saturation values of each pixel in the image frame to be processed, wherein the The proportion of pixels whose initial saturation value is less than or equal to the lower limit saturation value in each pixel is the first preset ratio, and the initial saturation value of each pixel is greater than or equal to the upper limit saturation value The proportion of the pixel points is the second preset ratio;

Based on the lower limit saturation value, the upper limit saturation value and a first preset formula, a first saturation threshold, a second saturation threshold and a third saturation threshold are obtained, wherein the first preset formula is :

S1=max(min(T1,L),T2)

S3=min(max(T3,H),T4)

S2=(S1+S3)/2

L represents the lower limit saturation value, H represents the upper limit saturation value, S1 represents the first saturation threshold, S2 represents the second saturation threshold, S3 represents the third saturation threshold, T1 represents The first preset value, T2 represents the second preset value, T3 represents the third preset value, and T4 represents the fourth preset value;

The first saturation threshold, the second saturation threshold, and the third saturation threshold are used as the preset saturation threshold.

Optionally, the first determination module is specifically configured to, for each pixel in the image frame to be processed, if the initial saturation value of the pixel is less than the first saturation threshold, determine the saturation of the pixel The saturation level is the first saturation level;

If the initial saturation value of the pixel is not less than the first saturation threshold and is less than the second saturation threshold, determine that the saturation level of the pixel is the second saturation level;

If the initial saturation value of the pixel is not less than the second saturation threshold and is less than the third saturation threshold, determine that the saturation level of the pixel is the third saturation level;

If the initial saturation value of the pixel is not less than the third saturation threshold, determine that the saturation level of the pixel is the fourth saturation level.

Optionally, the first processing module is specifically configured to, if the saturation level of the pixel point is the first saturation level, multiplying the initial saturation value of the pixel point by a first preset coefficient, As an alternative saturation value for the pixel;

If the saturation level of the pixel is the second saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a second preset formula, wherein the first The second preset formula is:

Z represents the alternative saturation value of the pixel, C represents the initial saturation value of the pixel, S1 represents the first saturation threshold, S2 represents the second saturation threshold, and A1 represents the second preset coefficient , T5 represents the fifth preset value;

If the saturation level of the pixel is the third saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a third preset formula, wherein the first The three preset formulas are:

S3 represents the third saturation threshold, A2 represents the third preset coefficient, T6 represents the sixth preset value, and T7 represents the seventh preset value;

If the saturation level of the pixel is the fourth saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a fourth preset formula, wherein the fourth The four preset formulas are:

Z=A3×(C-1)+1

A3 represents the fourth preset coefficient.

Optionally, the second processing module is specifically configured to obtain an average value of brightness values of pixels in an image region of a preset size to which the pixel belongs, as the average brightness value corresponding to the pixel;

According to the alternative saturation value of the pixel, the brightness value of the pixel, the average brightness value corresponding to the pixel and the fifth preset formula, the target saturation value of the pixel is obtained, wherein the fifth The default formula is:

M represents the target saturation value of the pixel, Z represents the alternative saturation value of the pixel, A4 represents the fifth preset coefficient, N represents the brightness value of the pixel, Indicates the average brightness value corresponding to the pixel point, and r indicates the correlation coefficient between brightness and saturation.

On the other hand, in order to achieve the above purpose, the embodiment of the present application also discloses an electronic device, the electronic device includes a memory and a processor;

The memory is used to store computer programs;

The processor is configured to implement the steps of the image processing method described in the first aspect when executing the program stored in the memory.

On the other hand, in order to achieve the above purpose, the embodiment of the present application also discloses a computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned The steps of the image processing method described in the first aspect.

On the other hand, in order to achieve the above purpose, the embodiment of the present application also discloses a computer program product containing instructions, which when run on a computer, causes the computer to execute the steps of the image processing method described in the above first aspect.

The embodiment of the present application provides an image processing method. For each pixel in the image frame to be processed, the saturation level of the pixel is determined according to the preset saturation threshold and the initial saturation value of the pixel. The saturation enhancement algorithm corresponding to the saturation level of the pixel performs enhancement processing on the initial saturation value of the pixel to obtain the alternative saturation value of the pixel, and according to the alternative saturation value of the pixel and the The brightness value of the pixel point is used to obtain the target saturation value of the pixel point, and the processed image frame to be processed is obtained based on the target saturation value of each pixel point in the image frame to be processed. Since human eyes have different sensitivities to the color of image regions with different brightness values, therefore, combining the saturation value and brightness value of the pixel point to perform color enhancement processing on the pixel point, compared with the prior art only based on the saturation value of the pixel point Color enhancement processing can be performed at a high degree, which can improve the image quality of the processed image frame.

Of course, implementing any product or method of the present application does not necessarily need to achieve all the above-mentioned advantages at the same time.

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

FIG. 1 is a flow chart of an image processing method provided in an embodiment of the present application;

FIG. 2 is a flow chart of an example of an image processing method provided in an embodiment of the present application;

FIG. 3 is a structural diagram of an image processing device provided in an embodiment of the present application;

FIG. 4 is a structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

In the related art, the color enhancement processing is only performed according to the saturation of the pixels, which may result in low image quality of the processed image frame.

In order to solve the above problems, an embodiment of the present application provides an image processing method, which can be applied to an electronic device, and the electronic device can be a terminal, or the electronic device can also be a server, and the electronic device is used to process image frames.

For each pixel in the image frame to be processed, the electronic device can determine the saturation level of the pixel according to the preset saturation threshold and the initial saturation value of the pixel.

Then, according to the saturation enhancement algorithm corresponding to the saturation level of the pixel, the electronic device performs enhancement processing on the initial saturation value of the pixel to obtain the candidate saturation value of the pixel, and according to the candidate saturation value of the pixel, Select the saturation value and the brightness value of the pixel to get the target saturation value of the pixel.

Furthermore, the electronic device obtains the processed image frame to be processed based on the target saturation value of each pixel in the image frame to be processed.

Since human eyes have different sensitivities to the color of image regions with different brightness values, therefore, combining the saturation value and brightness value of the pixel point to perform color enhancement processing on the pixel point, compared with the prior art only based on the saturation value of the pixel point Color enhancement processing can be performed at a high degree, which can improve the image quality of the processed image frame.

Referring to FIG. 1, FIG. 1 is a flow chart of an image processing method provided in an embodiment of the present application, and the method may include the following steps:

S101: For each pixel in the image frame to be processed, determine the saturation level of the pixel according to the preset saturation threshold and the initial saturation value of the pixel.

Wherein, the saturation level is used to indicate the level of the initial saturation value of the pixel.

The image frame to be processed can be a single image, or it can be any image frame extracted by the electronic device from the video resource. Usually, the image frame to be processed can be converted to HSV format, and each pixel in the HSV format The value of the S component of the point is used as the initial saturation value of the pixel point.

Furthermore, for each pixel in the image frame to be processed, the saturation level of the pixel can be determined according to the magnitude relationship between the initial saturation value of the pixel and the preset saturation threshold, so as to determine the saturation level of the pixel according to the saturation level. Pixels are color enhanced.

In one way, after the electronic device acquires the image frame to be processed, if the image frame to be processed is in YUV format, the electronic device can directly convert the image frame to be processed into the HSV format, and then obtain the initial saturation of each pixel value.

However, in the process of transmitting the image frame, it is easy to introduce image noise in the UV channel. Therefore, before converting the image frame to be processed into the HSV format, the electronic device can also use the image parameters of the UV channel of the image frame to be processed. Processing is performed to remove image noise and further improve image quality.

Optionally, before S101, the method may further include the following steps:

Step 1: Based on a preset image smoothing algorithm, the image parameters of the U channel and the image parameters of the V channel of each pixel in the image frame to be processed are processed.

Wherein, the preset image smoothing algorithm may be a guided graph filtering algorithm, or other algorithms for removing image noise in the related art.

In one implementation, the electronic device can respectively obtain the image parameters of the U channel and the image parameters of the V channel of each pixel in the image frame to be processed, and then, according to the guided graph filtering algorithm, separately analyze the image parameters of the U channel and the V channel The image parameters are processed to remove image noise in the UV channel.

Step 2, based on the brightness value of each pixel, and the processed image parameters of the U channel and the image parameters of the V channel, the respective saturation values of each pixel in the HSV format are obtained as the respective initial saturation values of each pixel .

After removing the image noise in the UV channel, the electronic device can combine the brightness values of each pixel in the image frame to be processed (ie, the image parameters of the Y channel), and the processed image parameters of the U channel and the image parameters of the V channel, Obtain the image parameters in the HSV format corresponding to each pixel, and use the obtained saturation value of each pixel in the HSV format as the initial saturation value of the pixel, and then, according to the initial saturation of the pixel Determine the saturation level of the pixel according to the magnitude relationship between the saturation value and the preset saturation threshold, so as to perform color enhancement processing on the pixel according to the saturation level.

In addition, in order to further improve the effect of image processing, a preset saturation threshold for dividing saturation levels may be determined according to the initial saturation values of pixels in the image frame to be processed.

Optionally, before S101, the method may further include the following steps:

The preset saturation threshold is determined according to the distribution of the initial saturation values of each pixel in the image frame to be processed.

Since the saturation distribution of pixels in different image frames is quite different, if the same saturation threshold is used to determine the saturation level of pixels for different image frames, the accuracy of the determined saturation level may be relatively low. Low, in turn, results in lower quality of the processed image frame.

Based on this, the present application can determine the preset saturation threshold according to the distribution of the initial saturation values of each pixel in the image frame to be processed.

Optionally, the method for determining the preset saturation threshold may include the following steps:

Step 1: Determine the lower limit saturation value and the upper limit saturation value according to the distribution histogram of the initial saturation value of each pixel in the image frame to be processed.

Among them, the proportion of pixels whose initial saturation value is less than or equal to the lower limit saturation value in each pixel is the first preset ratio, and the proportion of pixels whose initial saturation value is greater than or equal to the upper limit saturation value in each pixel is The proportion is the second preset ratio.

The first preset ratio and the second preset ratio can be set by a technician based on experience, for example, the first preset ratio can be 20%, and the second preset ratio can also be 20%.

In an implementation manner, after obtaining the initial saturation value of each pixel in the image frame to be processed, the electronic device may generate a distribution histogram of the initial saturation value, and then, the electronic device may include 20 on the left side of the distribution histogram. The initial saturation value corresponding to the range of % pixels is used as the lower limit saturation value; the initial saturation value corresponding to the range containing 20% of the pixels on the right side of the distribution histogram is used as the upper limit saturation value.

That is, the electronic device can determine the lower limit saturation value and the upper limit saturation value according to formula (1).

Among them, C represents the initial saturation value, Hist(C) represents the distribution of the initial saturation value, L represents the lower limit saturation value, and H represents the upper limit saturation value. The range of C is [0, 1].

Step 2: Obtain a first saturation threshold, a second saturation threshold, and a third saturation threshold based on the lower limit saturation value, the upper limit saturation value, and the first preset formula.

Wherein, the first preset formula is:

S1=max(min(T1,L),T2)

S3=min(max(T3,H),T4)

S2=(S1+S3)/2

L represents the lower limit saturation value, H represents the upper limit saturation value, S1 represents the first saturation threshold, S2 represents the second saturation threshold, S3 represents the third saturation threshold, T1 represents the first preset value, T2 represents the second The preset values, T3 represents the third preset value, and T4 represents the fourth preset value. In an implementation manner, T1 may be 0.2, T2 may be 1, T3 may be 0.8, and T4 may be 0.9.

In step 3, the first saturation threshold, the second saturation threshold and the third saturation threshold are used as preset saturation thresholds.

After obtaining the lower limit saturation value and the upper limit saturation value, the electronic device can obtain the first saturation threshold, the second saturation threshold and the third saturation threshold according to the first preset formula as the preset saturation threshold, using Used to determine the saturation level of a pixel.

Optionally, when it is determined that the preset saturation threshold includes the first saturation threshold, the second saturation threshold, and the third saturation threshold, S101 may include the following situations:

Case 1, for each pixel in the image frame to be processed, if the initial saturation value of the pixel is smaller than the first saturation threshold, the saturation level of the pixel is determined to be the first saturation level.

In the second case, if the initial saturation value of the pixel is not less than the first saturation threshold and is less than the second saturation threshold, it is determined that the saturation level of the pixel is the second saturation level.

In case three, if the initial saturation value of the pixel is not less than the second saturation threshold and is less than the third saturation threshold, it is determined that the saturation level of the pixel is the third saturation level.

Case 4, if the initial saturation value of the pixel is not less than the third saturation threshold, it is determined that the saturation level of the pixel is the fourth saturation level.

In an implementation manner, the electronic device may divide each pixel point in the image frame to be processed into four saturation levels according to the first saturation threshold, the second saturation threshold, and the third saturation threshold.

Among them, the initial saturation value of the pixels of the first saturation level (which may be referred to as ultra-low saturation pixels) is smaller than the first saturation threshold; the pixels of the second saturation level (which may be referred to as low-saturation pixels) )'s initial saturation value is not less than the first saturation threshold, and is less than the second saturation threshold; the initial saturation value of the pixels of the third saturation level (which can be called high-saturation pixels) is not less than the second saturation threshold The saturation threshold is smaller than the third saturation threshold; the initial saturation value of the pixels of the fourth saturation level (which may be called ultra-high saturation pixels) is not smaller than the third saturation threshold.

S102: Perform enhancement processing on the initial saturation value of the pixel according to the saturation enhancement algorithm corresponding to the saturation level of the pixel to obtain an alternative saturation value of the pixel.

In order to improve the effect of image processing, different methods are usually used for color enhancement processing for pixels with different saturations.

Therefore, for each pixel, after determining the saturation level of the pixel, the initial saturation value of the pixel can be enhanced according to the saturation enhancement algorithm corresponding to the saturation level of the pixel, The processed saturation value is the alternative saturation value.

In one implementation, for ultra-low-saturation pixels, low-saturation pixels, high-saturation pixels, and ultra-high-saturation pixels, the electronic device can adopt different color enhancement methods for processing to obtain pixel values Alternative saturation value.

Optionally, step S102 may include the following methods:

Way 1: If the saturation level of the pixel is the first saturation level, the product of the initial saturation value of the pixel and the first preset coefficient is used as the candidate saturation value of the pixel.

Wherein, the first preset coefficient may be set by a technician based on experience, for example, the first preset coefficient may be 0.5, but it is not limited thereto.

Method 2, if the saturation level of the pixel is the second saturation level, then an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a second preset formula.

Wherein, the second preset formula is:

Z represents the alternative saturation value of the pixel, C represents the initial saturation value of the pixel, S1 represents the first saturation threshold, S2 represents the second saturation threshold, A1 represents the second preset coefficient, T5 represents the first Five preset values. For example, A1 may be 0.5, and T5 may be 0.6, but not limited thereto.

Mode 3, if the saturation level of the pixel point is the third saturation level, an alternative saturation value of the pixel point is obtained according to the initial saturation value of the pixel point and a third preset formula.

Wherein, the third preset formula is:

S3 represents the third saturation threshold, A2 represents the third preset coefficient, T6 represents the sixth preset value, and T7 represents the seventh preset value. For example, A2 may be 0.5, T6 may be 0.1, and T7 may be 0.6, but not limited thereto.

Mode 4, if the saturation level of the pixel point is the fourth saturation level, an alternative saturation value of the pixel point is obtained according to the initial saturation value of the pixel point and a fourth preset formula.

Wherein, the fourth preset formula is:

Z=A3×(C-1)+1

A3 represents a fourth preset coefficient, for example, A3 may be 0.5, but it is not limited thereto.

Based on the above processing, pixels with different saturations are processed in different ways, which can improve the pertinence of the color enhancement processing, and further improve the image quality of the processed image frame.

S103: Obtain the target saturation value of the pixel according to the candidate saturation value of the pixel and the brightness value of the pixel.

Since human eyes have different sensitivities to the colors of image regions with different brightness values, in order to further improve the image quality of the processed image frame, for each pixel in the image frame to be processed, the electronic device obtains the pixel After selecting the saturation value of the pixel, the target saturation value of the pixel can be determined in combination with the brightness value of the pixel, and then, the processed image frame to be processed can be obtained according to the target saturation value of each pixel.

Optionally, S103 may include the following steps:

Step 1: Obtain an average value of brightness values of pixels in the image area of a preset size to which the pixel belongs, as an average brightness value corresponding to the pixel.

For a pixel in the image frame to be processed, in order to reflect the relative size of the brightness of the pixel, the electronic device can obtain the average value of the brightness of the pixel in the image area of the preset size to which the pixel belongs (that is, the average brightness value), to measure the brightness of the pixel according to the average brightness value.

The preset size can be set by a technician based on experience.

For example, the average value of brightness values of pixels in a 5×5 image area around the pixel point may be taken as the average brightness value corresponding to the pixel point.

Step 2: Obtain the target saturation value of the pixel according to the candidate saturation value of the pixel, the brightness value of the pixel, the average brightness value corresponding to the pixel, and the fifth preset formula.

Wherein, the fifth preset formula is:

M represents the target saturation value of the pixel, Z represents the alternative saturation value of the pixel, A4 represents the fifth preset coefficient, N represents the brightness value of the pixel, Indicates the average brightness value corresponding to the pixel point, and r indicates the correlation coefficient between brightness and saturation. In an implementation manner, the value of A4 may belong to the range [0, 5].

For each pixel, the electronic device can determine the target saturation value of the pixel according to the fifth preset formula.

It can be seen from the fifth preset formula that if the brightness value of a pixel point is greater than the average brightness value corresponding to the pixel point, the saturation of the pixel point will be enhanced; if the brightness value of the pixel point is smaller than the average brightness value corresponding to the pixel point If the brightness value is lowered, the saturation value of the pixel will be reduced. Through the above processing, the sensitivity of human eyes to the color of pixels with different brightness can be adapted to improve the image quality of the processed image frame.

S104: Obtain a processed image frame to be processed based on the target saturation value of each pixel in the image frame to be processed.

In an implementation manner, after obtaining the target saturation value of each pixel, the electronic device can perform a calculation based on the target saturation value of each pixel (that is, the value of the processed S component), the value of the H component, and the value of the V component. Numerical value, format conversion is performed to obtain the corresponding image frame in YUV format, that is, the processed image frame to be processed.

Referring to FIG. 2, FIG. 2 is a flow chart of an example of an image processing method provided in an embodiment of the present application. The method may include the following steps:

S201: Acquire image frames to be processed in YUV format.

S202: Based on a preset image smoothing algorithm, process the image parameters of the U channel and the image parameters of the V channel of each pixel in the image frame to be processed.

S203: Based on the brightness value of each pixel, and the processed image parameters of U channel and V channel, obtain the respective saturation values of each pixel in HSV format as the respective initial saturation values of each pixel.

S204: Determine a lower limit saturation value and an upper limit saturation value according to the distribution histogram of the initial saturation value of each pixel in the image frame to be processed.

Among them, the proportion of pixels whose initial saturation value is less than or equal to the lower limit saturation value in each pixel is 20%, and the proportion of pixels whose initial saturation value is greater than or equal to the upper limit saturation value in each pixel is 20%.

S205: Obtain a first saturation threshold, a second saturation threshold, and a third saturation threshold based on the lower limit saturation value, the upper limit saturation value, and a first preset formula.

Wherein, the first preset formula is:

L represents the lower limit saturation value, H represents the upper limit saturation value, S1 represents the first saturation threshold, S2 represents the second saturation threshold, and S3 represents the third saturation threshold.

S206: For each pixel in the image frame to be processed, determine the saturation level of the pixel according to the preset saturation threshold and the initial saturation value of the pixel.

Wherein, the saturation level is used to indicate the level of the initial saturation value of the pixel. The preset saturation thresholds include a first saturation threshold, a second saturation threshold and a third saturation threshold. The initial saturation value of the pixel at the first saturation level is less than the first saturation threshold; the initial saturation value of the pixel at the second saturation level is not less than the first saturation threshold and is less than the second saturation threshold; The initial saturation value of the pixels of the third saturation level is not less than the second saturation threshold and less than the third saturation threshold; the initial saturation value of the pixel of the fourth saturation level is not less than the third saturation threshold.

S207: If the saturation level of the pixel is the first saturation level, the product of the initial saturation value of the pixel and the first preset coefficient is used as an alternative saturation value of the pixel.

The first default coefficient is 0.5.

S208: If the saturation level of the pixel is the second saturation level, obtain an alternative saturation value of the pixel according to the initial saturation value of the pixel and a second preset formula.

Wherein, the second preset formula is:

Z represents the alternative saturation value of the pixel, C represents the initial saturation value of the pixel, S1 represents the first saturation threshold, and S2 represents the second saturation threshold.

S209: If the saturation level of the pixel is the third saturation level, obtain an alternative saturation value of the pixel according to the initial saturation value of the pixel and a third preset formula.

Wherein, the third preset formula is:

S3 represents the third saturation threshold.

S2010: If the saturation level of the pixel is the fourth saturation level, obtain an alternative saturation value of the pixel according to the initial saturation value of the pixel and a fourth preset formula.

Wherein, the fourth preset formula is:

Z=0.5×(C-1)+1

S2011: Obtain an average value of brightness values of pixels in the 5×5 image area to which the pixel belongs, as an average brightness value corresponding to the pixel.

S2012: Obtain the target saturation value of the pixel according to the candidate saturation value of the pixel, the brightness value of the pixel, the average brightness value corresponding to the pixel, and a fifth preset formula.

Wherein, the fifth preset formula is:

M represents the target saturation value of the pixel, Z represents the alternative saturation value of the pixel, N represents the brightness value of the pixel, Indicates the average brightness value corresponding to the pixel, r indicates the correlation coefficient between brightness and saturation, and A4 indicates the fifth preset coefficient.

S2013: Obtain a processed image frame to be processed based on the target saturation value of each pixel in the image frame to be processed.

Corresponding to the method embodiment in Figure 1, see Figure 3, Figure 3 is a structural diagram of an image processing device provided in an embodiment of the present application, the device may include:

The first determination module 301 is configured to, for each pixel in the image frame to be processed, determine the saturation level of the pixel according to the preset saturation threshold and the initial saturation value of the pixel, wherein the saturation The saturation level is used to indicate the level of the initial saturation value of the pixel;

The first processing module 302 is configured to perform enhancement processing on the initial saturation value of the pixel point according to the saturation enhancement algorithm corresponding to the saturation level of the pixel point, to obtain an alternative saturation value of the pixel point;

The second processing module 303 is configured to obtain the target saturation value of the pixel point according to the alternative saturation value of the pixel point and the brightness value of the pixel point;

The generating module 304 is configured to obtain the processed image frame to be processed based on the target saturation value of each pixel in the image frame to be processed.

Optionally, the device also includes:

The third processing module is configured to process the image parameters of the U channel and the image parameters of the V channel of each pixel in the image frame to be processed based on a preset image smoothing algorithm;

Based on the brightness value of each pixel, and the processed image parameters of the U channel and the image parameters of the V channel, obtain the respective saturation values of each pixel in the hue-saturation-brightness HSV format, as the pixels Points with their respective initial saturation values.

Optionally, the device also includes:

The second determination module is configured to determine the preset saturation threshold according to the distribution of the initial saturation values of each pixel in the image frame to be processed.

Optionally, the second determining module is specifically configured to determine a lower limit saturation value and an upper limit saturation value according to a distribution histogram of initial saturation values of each pixel in the image frame to be processed, wherein the The proportion of pixels whose initial saturation value is less than or equal to the lower limit saturation value in each pixel is the first preset ratio, and the initial saturation value of each pixel is greater than or equal to the upper limit saturation value The proportion of the pixel points is the second preset ratio;

Based on the lower limit saturation value, the upper limit saturation value and a first preset formula, a first saturation threshold, a second saturation threshold and a third saturation threshold are obtained, wherein the first preset formula is :

S1=max(min(T1,L),T2)

S3=min(max(T3,H),T4)

S2=(S1+S3)/2

L represents the lower limit saturation value, H represents the upper limit saturation value, S1 represents the first saturation threshold, S2 represents the second saturation threshold, S3 represents the third saturation threshold, T1 represents The first preset value, T2 represents the second preset value, T3 represents the third preset value, and T4 represents the fourth preset value;

The first saturation threshold, the second saturation threshold, and the third saturation threshold are used as the preset saturation threshold.

Optionally, the first determining module 301 is specifically configured to, for each pixel in the image frame to be processed, if the initial saturation value of the pixel is less than the first saturation threshold, determine the The saturation level is the first saturation level;

If the initial saturation value of the pixel is not less than the first saturation threshold and is less than the second saturation threshold, determine that the saturation level of the pixel is the second saturation level;

If the initial saturation value of the pixel is not less than the second saturation threshold and is less than the third saturation threshold, determine that the saturation level of the pixel is the third saturation level;

If the initial saturation value of the pixel is not less than the third saturation threshold, determine that the saturation level of the pixel is the fourth saturation level.

Optionally, the first processing module 302 is specifically configured to: if the saturation level of the pixel point is the first saturation level, the product of the initial saturation value of the pixel point and the first preset coefficient , as the alternative saturation value of the pixel;

If the saturation level of the pixel is the second saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a second preset formula, wherein the first The second preset formula is:

Z represents the alternative saturation value of the pixel, C represents the initial saturation value of the pixel, S1 represents the first saturation threshold, S2 represents the second saturation threshold, and A1 represents the second preset coefficient , T5 represents the fifth preset value;

If the saturation level of the pixel is the third saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a third preset formula, wherein the first The three preset formulas are:

S3 represents the third saturation threshold, A2 represents the third preset coefficient, T6 represents the sixth preset value, and T7 represents the seventh preset value;

If the saturation level of the pixel is the fourth saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a fourth preset formula, wherein the fourth The four preset formulas are:

Z=A3×(C-1)+1

A3 represents the fourth preset coefficient.

Optionally, the second processing module 303 is specifically configured to obtain an average value of brightness values of pixels in an image region of a preset size to which the pixel belongs, as the average brightness value corresponding to the pixel;

According to the alternative saturation value of the pixel, the brightness value of the pixel, the average brightness value corresponding to the pixel and the fifth preset formula, the target saturation value of the pixel is obtained, wherein the fifth The default formula is:

M represents the target saturation value of the pixel, Z represents the alternative saturation value of the pixel, A4 represents the fifth preset coefficient, N represents the brightness value of the pixel, Indicates the average brightness value corresponding to the pixel point, and r indicates the correlation coefficient between brightness and saturation.

It can be seen from the above that, based on the image processing device of the embodiment of the present application, for each pixel in the image frame to be processed, the saturation level of the pixel is determined according to the preset saturation threshold and the initial saturation value of the pixel , according to the saturation enhancement algorithm corresponding to the saturation level of the pixel, the initial saturation value of the pixel is enhanced to obtain the alternative saturation value of the pixel, and according to the alternative saturation value of the pixel and the brightness value of the pixel to obtain the target saturation value of the pixel, and based on the target saturation value of each pixel in the image frame to be processed, the processed image frame to be processed is obtained. Since human eyes have different sensitivities to the color of image regions with different brightness values, therefore, combining the saturation value and brightness value of the pixel point to perform color enhancement processing on the pixel point, compared with the prior art only based on the saturation value of the pixel point Color enhancement processing can be performed at a high degree, which can improve the image quality of the processed image frame.

The embodiment of the present application also provides an electronic device, as shown in FIG. 4 , including a memory 401 and a processor 402;

Memory 401, used to store computer programs;

The processor 402 is configured to implement the image processing method provided by the embodiment of the present application when executing the program stored in the memory 401 .

Specifically, the above-mentioned image processing method includes:

For each pixel in the image frame to be processed, according to the preset saturation threshold and the initial saturation value of the pixel, determine the saturation level of the pixel, wherein the saturation level is used to represent the pixel The initial saturation value of the high and low;

According to the saturation enhancement algorithm corresponding to the saturation level of the pixel point, the initial saturation value of the pixel point is enhanced to obtain the alternative saturation value of the pixel point;

According to the alternative saturation value of the pixel point and the brightness value of the pixel point, the target saturation value of the pixel point is obtained;

Based on the target saturation value of each pixel in the image frame to be processed, the processed image frame to be processed is obtained.

It should be noted that other implementation manners of the above image processing method are partly the same as those in the foregoing method embodiments, and will not be repeated here.

The above-mentioned electronic device may be provided with a communication interface for implementing communication between the above-mentioned electronic device and other devices.

Above-mentioned processor, communication interface, memory finish the mutual communication through communication bus, and communication bus mentioned here can be the peripheral components interconnect standard (Peripheral Component Interconnect, be called for short PCI) bus or extended industry standard structure (Extended Industry Standard Architecture, referred to as EISA) bus and so on. The communication bus can be divided into an address bus, a data bus, a control bus, and the like.

The memory may include a random access memory (Random Access Memory, RAM for short), and may also include a non-volatile memory (Non-Volatile Memory, NVM for short), such as at least one magnetic disk memory. Optionally, the memory may also be at least one storage device located far away from the aforementioned processor.

The above-mentioned processor can be a general-purpose processor, including a central processing unit (Central Processing Unit, referred to as CPU), a network processor (Network Processor, referred to as NP), etc.; it can also be a digital signal processor (Digital Signal Processing, referred to as DSP) , Application Specific Integrated Circuit (ASIC for short), Field Programmable Gate Array (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

The embodiment of the present application also provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the computer-readable storage medium is run on a computer, the computer executes the image processing method provided in the embodiment of the present application.

Specifically, the above-mentioned image processing method includes:

For each pixel in the image frame to be processed, according to the preset saturation threshold and the initial saturation value of the pixel, determine the saturation level of the pixel, wherein the saturation level is used to represent the pixel The initial saturation value of the high and low;

According to the saturation enhancement algorithm corresponding to the saturation level of the pixel point, the initial saturation value of the pixel point is enhanced to obtain the alternative saturation value of the pixel point;

According to the alternative saturation value of the pixel point and the brightness value of the pixel point, the target saturation value of the pixel point is obtained;

Based on the target saturation value of each pixel in the image frame to be processed, the processed image frame to be processed is obtained.

It should be noted that other implementation manners of the above image processing method are partly the same as those in the foregoing method embodiments, and will not be repeated here.

The embodiment of the present application also provides a computer program product containing instructions, which, when run on a computer, causes the computer to execute the image processing method provided in the embodiment of the present application.

Specifically, the above-mentioned image processing method includes:

For each pixel in the image frame to be processed, according to the preset saturation threshold and the initial saturation value of the pixel, determine the saturation level of the pixel, wherein the saturation level is used to represent the pixel The initial saturation value of the high and low;

According to the saturation enhancement algorithm corresponding to the saturation level of the pixel point, the initial saturation value of the pixel point is enhanced to obtain the alternative saturation value of the pixel point;

According to the alternative saturation value of the pixel point and the brightness value of the pixel point, the target saturation value of the pixel point is obtained;

Based on the target saturation value of each pixel in the image frame to be processed, the processed image frame to be processed is obtained.

It should be noted that other implementation manners of the above image processing method are partly the same as those in the foregoing method embodiments, and will not be repeated here.

In the above embodiments, all or part of them may be implemented by software, hardware, firmware or any combination thereof. When implemented using software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the processes or functions according to the embodiments of the present application will be generated in whole or in part. The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website, computer, server or data center Transmission to another website site, computer, server, or data center by wired (eg, coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (eg, infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center integrated with one or more available media. The available medium may be a magnetic medium (for example, a floppy disk, a hard disk, or a magnetic tape), an optical medium (for example, DVD), or a semiconductor medium (for example, a Solid State Disk (SSD)).

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is a relationship between these entities or operations. There is no such actual relationship or order between them. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

Each embodiment in this specification is described in a related manner, the same and similar parts of each embodiment can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the apparatus, electronic equipment, computer-readable storage medium, and computer program product embodiments, since they are basically similar to the method embodiments, the description is relatively simple. For relevant parts, please refer to the part of the description of the method embodiments.

The above descriptions are only preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application are included within the protection scope of this application.

Claims (16)

1. An image processing method, characterized in that the method comprises: For each pixel in the image frame to be processed, according to the preset saturation threshold and the initial saturation value of the pixel, determine the saturation level of the pixel, wherein the saturation level is used to represent the pixel The initial saturation value of the high and low; According to the saturation enhancement algorithm corresponding to the saturation level of the pixel point, the initial saturation value of the pixel point is enhanced to obtain the alternative saturation value of the pixel point; According to the alternative saturation value of the pixel point and the brightness value of the pixel point, the target saturation value of the pixel point is obtained; Based on the target saturation value of each pixel in the image frame to be processed, the processed image frame to be processed is obtained. 2. The method according to claim 1, wherein, for each pixel in the image frame to be processed, the saturation of the pixel is determined according to the preset saturation threshold and the initial saturation value of the pixel. Before degree grades, the method also includes: Based on the preset image smoothing algorithm, the image parameters of the U channel and the image parameters of the V channel of each pixel in the image frame to be processed are processed; Based on the brightness value of each pixel, and the processed image parameters of the U channel and the image parameters of the V channel, obtain the respective saturation values of each pixel in the hue-saturation-brightness HSV format, as the pixels Points with their respective initial saturation values. 3. The method according to claim 1, wherein, for each pixel in the image frame to be processed, the saturation of the pixel is determined according to the preset saturation threshold and the initial saturation value of the pixel. Before degree grades, the method also includes: The preset saturation threshold is determined according to the distribution of the initial saturation values of each pixel in the image frame to be processed. 4. The method according to claim 3, wherein the determining the preset saturation threshold according to the distribution of the initial saturation values of each pixel in the image frame to be processed comprises: Determine a lower limit saturation value and an upper limit saturation value according to the distribution histogram of the initial saturation value of each pixel in the image frame to be processed, wherein the initial saturation value in each pixel is less than or equal to the lower limit The proportion of pixels with saturation values is the first preset ratio, and the proportion of pixels with initial saturation values greater than or equal to the upper limit saturation value among the pixels is the second preset ratio; Based on the lower limit saturation value, the upper limit saturation value and a first preset formula, a first saturation threshold, a second saturation threshold and a third saturation threshold are obtained, wherein the first preset formula is : S1=max(min(T1,L),T2) S3=min(max(T3,H),T4) S2=(S1+S3)/2 L represents the lower limit saturation value, H represents the upper limit saturation value, S1 represents the first saturation threshold, S2 represents the second saturation threshold, S3 represents the third saturation threshold, T1 represents The first preset value, T2 represents the second preset value, T3 represents the third preset value, and T4 represents the fourth preset value; The first saturation threshold, the second saturation threshold, and the third saturation threshold are used as the preset saturation threshold. 5. The method according to claim 4, characterized in that, for each pixel in the image frame to be processed, the saturation of the pixel is determined according to the preset saturation threshold and the initial saturation value of the pixel grades, including: For each pixel in the image frame to be processed, if the initial saturation value of the pixel is less than the first saturation threshold, determine the saturation level of the pixel as the first saturation level; If the initial saturation value of the pixel is not less than the first saturation threshold and is less than the second saturation threshold, determine that the saturation level of the pixel is the second saturation level; If the initial saturation value of the pixel is not less than the second saturation threshold and is less than the third saturation threshold, determine that the saturation level of the pixel is the third saturation level; If the initial saturation value of the pixel is not less than the third saturation threshold, determine that the saturation level of the pixel is the fourth saturation level. 6. The method according to claim 5, characterized in that, according to the saturation enhancement algorithm corresponding to the saturation level of the pixel point, the initial saturation value of the pixel point is enhanced to obtain the saturation value of the pixel point Alternative saturation values, including: If the saturation level of the pixel is the first saturation level, the product of the initial saturation value of the pixel and the first preset coefficient is used as an alternative saturation value of the pixel; If the saturation level of the pixel is the second saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a second preset formula, wherein the first The second preset formula is: Z represents the alternative saturation value of the pixel, C represents the initial saturation value of the pixel, S1 represents the first saturation threshold, S2 represents the second saturation threshold, and A1 represents the second preset coefficient , T5 represents the fifth preset value; If the saturation level of the pixel is the third saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a third preset formula, wherein the first The three preset formulas are: S3 represents the third saturation threshold, A2 represents the third preset coefficient, T6 represents the sixth preset value, and T7 represents the seventh preset value; If the saturation level of the pixel is the fourth saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a fourth preset formula, wherein the fourth The four preset formulas are: Z=A3×(C-1)+1 A3 represents the fourth preset coefficient. 7. The method according to claim 1, wherein said obtaining the target saturation value of the pixel according to the alternative saturation value of the pixel and the brightness value of the pixel comprises: Obtain the average value of the brightness values of the pixels in the image area of the preset size to which the pixel belongs, as the average brightness value corresponding to the pixel; According to the alternative saturation value of the pixel, the brightness value of the pixel, the average brightness value corresponding to the pixel and the fifth preset formula, the target saturation value of the pixel is obtained, wherein the fifth The default formula is: M represents the target saturation value of the pixel, Z represents the alternative saturation value of the pixel, A4 represents the fifth preset coefficient, N represents the brightness value of the pixel, Indicates the average brightness value corresponding to the pixel point, and r indicates the correlation coefficient between brightness and saturation. 8. An image processing device, characterized in that the device comprises: The first determination module is configured to determine the saturation level of the pixel point for each pixel point in the image frame to be processed according to the preset saturation threshold value and the initial saturation value of the pixel point, wherein the saturation level Level is used to indicate the level of the initial saturation value of the pixel; The first processing module is configured to perform enhancement processing on the initial saturation value of the pixel point according to the saturation enhancement algorithm corresponding to the saturation level of the pixel point, to obtain an alternative saturation value of the pixel point; The second processing module is used to obtain the target saturation value of the pixel according to the alternative saturation value of the pixel and the brightness value of the pixel; A generating module, configured to obtain the processed image frame to be processed based on the target saturation value of each pixel in the image frame to be processed. 9. The device according to claim 8, further comprising: The third processing module is configured to process the image parameters of the U channel and the image parameters of the V channel of each pixel in the image frame to be processed based on a preset image smoothing algorithm; Based on the brightness value of each pixel, and the processed image parameters of the U channel and the image parameters of the V channel, obtain the respective saturation values of each pixel in the hue-saturation-brightness HSV format, as the pixels Points with their respective initial saturation values. 10. The device according to claim 8, further comprising: The second determination module is configured to determine the preset saturation threshold according to the distribution of the initial saturation values of each pixel in the image frame to be processed. 11. The device according to claim 10, wherein the second determination module is specifically used for Determine a lower limit saturation value and an upper limit saturation value according to the distribution histogram of the initial saturation value of each pixel in the image frame to be processed, wherein the initial saturation value in each pixel is less than or equal to the lower limit The proportion of pixels with saturation values is the first preset ratio, and the proportion of pixels with initial saturation values greater than or equal to the upper limit saturation value among the pixels is the second preset ratio; Based on the lower limit saturation value, the upper limit saturation value and a first preset formula, a first saturation threshold, a second saturation threshold and a third saturation threshold are obtained, wherein the first preset formula is : S1=max(min(T1,L),T2) S3=min(max(T3,H),T4) S2=(S1+S3)/2 L represents the lower limit saturation value, H represents the upper limit saturation value, S1 represents the first saturation threshold, S2 represents the second saturation threshold, S3 represents the third saturation threshold, T1 represents The first preset value, T2 represents the second preset value, T3 represents the third preset value, and T4 represents the fourth preset value; The first saturation threshold, the second saturation threshold, and the third saturation threshold are used as the preset saturation threshold. 12. The device according to claim 11, wherein the first determining module is specifically configured to, for each pixel in the image frame to be processed, if the initial saturation value of the pixel is smaller than the first A saturation threshold, determining that the saturation level of the pixel point is the first saturation level; If the initial saturation value of the pixel is not less than the first saturation threshold and is less than the second saturation threshold, determine that the saturation level of the pixel is the second saturation level; If the initial saturation value of the pixel is not less than the second saturation threshold and is less than the third saturation threshold, determine that the saturation level of the pixel is the third saturation level; If the initial saturation value of the pixel is not less than the third saturation threshold, determine that the saturation level of the pixel is the fourth saturation level. 13. The device according to claim 12, wherein the first processing module is specifically configured to: if the saturation level of the pixel point is the first saturation level, the initial saturation level of the pixel point The product of the saturation value and the first preset coefficient is used as an alternative saturation value of the pixel; If the saturation level of the pixel is the second saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a second preset formula, wherein the first The second preset formula is: Z represents the alternative saturation value of the pixel, C represents the initial saturation value of the pixel, S1 represents the first saturation threshold, S2 represents the second saturation threshold, and A1 represents the second preset coefficient , T5 represents the fifth preset value; If the saturation level of the pixel is the third saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a third preset formula, wherein the first The three preset formulas are: S3 represents the third saturation threshold, A2 represents the third preset coefficient, T6 represents the sixth preset value, and T7 represents the seventh preset value; If the saturation level of the pixel is the fourth saturation level, an alternative saturation value of the pixel is obtained according to the initial saturation value of the pixel and a fourth preset formula, wherein the fourth The four preset formulas are: Z=A3×(C-1)+1 A3 represents the fourth preset coefficient. 14. The device according to claim 8, wherein the second processing module is specifically configured to acquire the average value of brightness values of pixels in the image area of a preset size to which the pixel belongs, as the pixel The average brightness value corresponding to the point; According to the alternative saturation value of the pixel, the brightness value of the pixel, the average brightness value corresponding to the pixel and the fifth preset formula, the target saturation value of the pixel is obtained, wherein the fifth The default formula is: M represents the target saturation value of the pixel, Z represents the alternative saturation value of the pixel, A4 represents the fifth preset coefficient, N represents the brightness value of the pixel, Indicates the average brightness value corresponding to the pixel point, and r indicates the correlation coefficient between brightness and saturation. 15. An electronic device, comprising a memory and a processor; The memory is used to store computer programs; The processor is configured to implement the method steps described in any one of claims 1-7 when executing the program stored in the memory. 16. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method steps of any one of claims 1-7 are implemented.