CN103379346A - Chrominance information processing method, device and system of images in YUV format - Google Patents

Abstract

The present invention provides a method for processing chroma information of a YUV format image, the method comprising: obtaining chroma-saturation information κ of the first current image frame; obtaining adjustment parameters according to the chroma-saturation information κ; by Pre-acquired the empirical interval [θ ₁ , θ ₂ ] of the required enhanced color distribution, and obtain the weight function; perform chroma saturation by using the chroma-saturation information κ, adjustment parameters, weight function and the pre-built chroma transformation function. transform. The present invention also provides a device for processing chroma information of images in YUV format, including: a first acquisition unit, a second acquisition unit, a third acquisition unit, a fourth acquisition unit, and a chroma conversion unit. Because the present invention is based on the chromaticity processing method on this model, whether it is to remove color noise or judge color cast, color enhancement is based on this model, compared with methods based on other color models, the amount of calculation on model conversion is reduced .

Description

Chromaticity information processing method, device and system of a YUV format image

technical field

The present invention relates to the field of video encoding and decoding, in particular to a method, device and system for processing chrominance information of images in YUV format.

Background technique

At present, the unit of digital image is pixel, and the color of each pixel is composed of three primary colors (R, G, B), and each pixel color has brightness and chromaticity. The quality of digital image mainly depends on The brightness, contrast, and saturation of the picture it presents.

As for the existing digital image processing, the R, G, and B values of the first pixel of the digital image are first converted into luminance (Y) signals and chrominance (U, V) signals, and then the luminance and chrominance signals are directly adjusted. , to improve the brightness, contrast and chroma of digital images. Usually, if the luminance signal and chrominance signal represented by each pixel of the digital image are directly adjusted, some problems will occur. Traditionally the luminance (Y) signal and chrominance (U, V) or (Cb, Cr) are handled separately and not considered together.

From the perspective of the human visual system, color can be described by brightness, hue, and saturation. Usually, hue and saturation are commonly referred to as chroma, which is used to indicate the category and depth of color. Although human vision is much more sensitive to brightness than to color shades, sometimes the chromaticity information carried by the image sequence processed by the video encoder is insufficient. For example, the images obtained by the camera are often caused by different indoor light sources. Color noise, color cast and other problems, so it is necessary to use color processing methods to enhance the color of the image. Most of the current color processing methods are based on RGB and HSV color models, and currently in the field of video compression technology, the video source format mostly adopts the separate representation mode of luminance information and chrominance information, that is, YUV. Although the conversion between various models can be realized through the color space conversion method, the calculation amount caused by the conversion and inverse conversion is also very large.

Considering that in practical applications, people sometimes need to adopt different enhancement processing intensities to process different color gamut information. If the algorithm relies on the detection of color regions in the prior art, it will increase the amount of calculation, and second, there will be no region detection algorithm with 100% accuracy, and it will cause balance transition problems caused by misjudgment in discrete point domains, etc. .

Therefore, it is necessary to propose an improved method solution to solve the above-mentioned problems existing in the existing methods.

Contents of the invention

The purpose of the embodiment of the present invention is to propose a new method for processing chrominance information of an image in YUV format.

The methods described include:

Obtain the chroma-saturation information κ of the first current image frame;

Acquiring adjustment parameters according to the chroma-saturation information κ;

Obtain the weight function through the pre-acquired empirical interval [θ ₁ , θ ₂ ] of the required enhanced color distribution;

The chroma transformation is performed through the chroma-saturation information κ, the adjustment parameter, the weight function and the pre-built chroma transformation function.

The present invention also provides a device for processing chroma information of images in YUV format, the device comprising: a first acquisition unit, a second acquisition unit, a third acquisition unit, a fourth acquisition unit, and a chroma conversion unit;

The first acquisition unit is used to pre-acquire the empirical interval [θ ₁ , θ ₂ ] of the color to be enhanced;

A second acquiring unit, configured to acquire the hue-saturation information κ of the first current image frame;

A third acquisition unit, configured to acquire adjustment parameters according to the chroma-saturation information κ;

The fourth obtaining unit is used to obtain the weight function;

The chroma conversion unit is configured to perform chroma conversion through the chroma-saturation information κ, adjustment parameters, weight functions and pre-built chroma conversion functions.

The chrominance information processing method of the new YUV format image provided by the present invention reduces the amount of calculation, because at present in the field of video compression technology, the video source format is mostly YUV format image, and the present invention is based on the chromaticity information on this model. Whether it is color noise removal or color cast judgment, color enhancement is based on this model. Compared with methods based on other color models, the amount of calculation on model conversion is reduced.

The second avoids the problem of area detection accuracy in the prior art: ① because the area detection method is not used, the problems caused by area detection misjudgment are avoided; ② in addition, because the image is composed of pixels, if the pixel-based In the region detection method, some discrete points will appear; ③The chromaticity enhancement method based on region detection will cause the color enhancement intensity of the region border to be different, resulting in the problem of color change jump. If there is a region detection error, It's even more obvious. But what the present invention adopts is the method based on the weight enhancement of color, can balance transition along with color change. At the same time, it also reduces the amount of calculation brought by the area detection.

Description of drawings

Fig. 1 is the method flowchart of embodiment 1 of the present invention;

Fig. 2 is the method flowchart of embodiment 2 of the present invention;

3 is a flow chart of a method for correcting color cast in Embodiment 2 of the present invention;

Fig. 4 is the structural representation of embodiment 3 of the present invention;

Fig. 5 is a schematic structural view of Embodiment 4 of the present invention;

Fig. 6 is a schematic structural view of Embodiment 5 of the present invention;

7 is a schematic structural diagram of the first statistical area acquisition unit in Embodiment 5 of the present invention;

Fig. 8 is a schematic structural diagram of Embodiment 6 of the present invention.

Detailed ways

In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. For ease of description, only the parts related to the embodiments of the present invention are shown. It should be understood that the specific embodiments described here are only used to explain the present invention, and are not intended to limit the present invention.

Embodiment one

The invention provides a method for processing chroma information of a YUV format image. In the method, the image collected by a coding source is a data model on a YUV space, and the chroma signal includes a color signal (ie, a hue signal) and a color saturation signal. The color signal of the YUV format signal is represented by an angle, that is, the color phase angle of a pixel is passed express. The color saturation of a pixel in a YUV format signal is $\sqrt{{(u(i,j)-128)}^2+{(v(i,j)-128)}^2}.$

The YUV format image that the method provided in embodiment 1 is applied to collection is noise-free and color cast, and the definition of noise-free and color cast for YUV format image is common knowledge of those skilled in the art, and also does not belong to the scope of the present invention, therefore It is not described here. The specific implementation of the present invention will be described below in conjunction with the accompanying drawings.

See Figure 1, see Figure 1:, the method can be:

Step 100: Obtain the empirical interval [θ ₁ , θ ₂ ] of the required enhanced color distribution;

Specifically: Obtain the empirical range of color distribution offline;

Step 100 is the preparatory part of step 101--step 104, it is only carried out before step 101--step 104 for the first time, after this, as long as the user still strengthens the same color, then step 100 will not be carried out again, because step 101- - The empirical interval [θ ₁ , θ ₂ ] of the color distribution used in step 104 has been obtained when the color enhancement is performed for the first time;

The principle of step 100 is to obtain the empirical interval [θ ₁ , θ ₂ ] of color distribution by counting the color distribution rules of a large number of images (at least 25 YUV images, please refer to the description in step 1001 for specific requirements);

The so-called off-line here refers to counting a large number of images in advance, and the images used in the counting process have nothing to do with the subsequent color-enhanced images.

The method of "obtaining the empirical interval [θ ₁ , θ ₂ ] of the required enhanced color distribution" can be:

Step 1001: Acquiring P pieces of YUV format images that meet the following conditions (P>=25)

The acquisition mentioned here refers to the images that meet any of the following conditions 1 and 2 at the same time, both are acceptable;

Condition 1: The selected image is a noise-free and color-cast image (noise-free and color-cast images are common meanings);

Condition 2: Select an image containing the color to be enhanced, that is, if the user wants to enhance the skin color of the person in the image, then the image containing the skin color information of the person should be selected at this time.

Step 1002; Obtain the mth (that is, the mth in the P image, m=1, 2, ..., P) image in the P YUV format image to enhance the color, and the angle of all pixels in the area where it is located ${\mathrm{\θ}}_{i,j}=\mathrm{arac}\mathrm{the\; tan}\left(\frac{v(i,j)-128}{u(i,j)-128}\right)$

Step 1003: Obtain the minimum value of all θ _i,j calculated in step 1002 and denote as ${\mathrm{\θ}}_1=\min \left(\mathrm{arac}\mathrm{the\; tan}\left(\frac{v(i,j)-128}{u(i,j)-128}\right)\right)$ Obtain the maximum value of all θ _{i and j} obtained in step 1002 as ${\mathrm{\θ}}_2=\max \left(\mathrm{arac}\mathrm{the\; tan}\left(\frac{v(i,j)-128}{u(i,j)-128}\right)\right)$

Where u(i, j): represents an image in YUV format, the pixel value of the chroma u component in row i and column j; v(i, j): represents an image in YUV format, and the chroma v component is in row i and column j Pixel value; θi _{, j} is the angle of the current pixel in the area where the color needs to be enhanced in the mth image in the P YUV format images; i is the row label of the current pixel, and j is the column label of the current pixel.

Step 101: Obtain the chroma-saturation information κ of the first current image frame frame;

$\mathrm{\κ}=\mathrm{mean}\left(\sqrt{{(u_{\mathrm{frame}}(i,j)-128)}^2+{(v_{\mathrm{frame}}(i,j)-128)}^2}\right|u_{\mathrm{frame}}(i,j)$ and v _frame (i,) ∈ frame)

frame is the first current image frame, κ is the hue saturation information of the first current image frame,

求均值；u_frame(i，j)为第一当前图像帧frame，色度u分量在i行j列的像素值；v_frame(i，j)为第一当前图像帧frame，色度v分量在i行j列的像素值。 $\mathrm{mean}\left(\sqrt{{(u_{\mathrm{frame}}(i,j)-128)}^2+{(v_{\mathrm{frame}}(i,j)-128)}^2}\right|u_{\mathrm{frame}}(i,j)$ and v _frame (i, j) ∈ frame) are the corresponding variables for all chrominance components u _frame (i, j) and v _frame (i, j) belonging to the first current image frame

Find the mean value; u _frame (i, j) is the first current image frame frame, the pixel value of the chroma u component in i row j column; v _frame (i, j) is the first current image frame frame, the chroma v component The pixel value at row i and column j.

Step 102: Acquiring adjustment parameters according to the chroma-saturation information κ;

${\mathrm{<span\; class="notranslate">\; \&beta;</span>}}_{\mathrm{<span\; class="notranslate">\; u</span>}}<span\; class="notranslate">\; =</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; *</span>{\mathrm{<span\; class="notranslate">\; \&gamma;</span>}}_{\mathrm{<span\; class="notranslate">\; u</span>}}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; \&kappa;</span>}$

${\mathrm{<span\; class="notranslate">\; \&beta;</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}}<span\; class="notranslate">\; =</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; *</span>{\mathrm{<span\; class="notranslate">\; \&gamma;</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; \&kappa;</span>}$

β _u is the adjustment parameter of the chroma component u, β _v is the adjustment parameter of the chroma component v, and γ _u is the target chroma saturation constant of the chroma component u, which is determined by the user according to actual needs. Considering that the color is too strong, Human eyes will feel uncomfortable, generally γ _u < 80, γ _v is the target chroma saturation constant of chroma component v, which is determined by the user according to actual needs. Considering that the color is too strong, human eyes will feel uncomfortable, Generally, γ _v <80; κ is the chroma saturation information of the first current image frame frame;

Step 103: construct weight function w=η(θ) according to the following requirements;

Condition 1: η(θ) is a continuous function

Condition 2: η(θ) has only one maximum point

Condition 3: The maximum point of η(θ) is located at (θ ₁ +θ ₂ )/2,

η(θ) that satisfies the above conditions at the same time can be used as the weight function w; if the above three conditions cannot be satisfied at the same time, the current η(θ) cannot be used as the weight function, and the function η(θ) is reset, and the appeal judgment is continued until η (θ) satisfies the condition, that is, at this time η(θ) is the weight function w.

Wherein [θ ₁ , θ ₂ ] is the minimum empirical value interval of the chroma enhancement of the desired enhanced color (obtained in step 100);

Step 104: Carry out chroma transformation through the chroma-saturation information κ, adjustment parameters, weight function and chroma transformation function.

The pre-built chroma transform function is:

u3(i,j)=clip(w*((u _frame (i,j)-128)*β _u +128),0,255),

v3(i,j)=clip(w*((v _frame (i,j)-128)*β _v +128),0,255);

Wherein w is the weight function described, β _u is the adjustment parameter of chroma component u, and β _v is the adjustment parameter of chroma component v;

Wherein u _frame (i, j) is the first current image frame frame, and the chroma u component is at the pixel value of i row j column; v _frame (i, j) is the first current image frame frame, and the chroma v component is at i The pixel value of row j and column; u3(i, j), v3(i, j) are respectively the pixel values after u _frame (i, j) and v _frame (i, j) are enhanced by color, $\mathrm{clip}(x,\mathrm{0,255})=\left\{\begin{array}{cc}0,& x<0\\ x,& 0\&le;x\&le;255\\ 255,& x>255\end{array}\right..$

That is, the chromaticity transformation is performed by using the chromaticity transformation function to enhance the chromaticity information of the image.

Embodiment two

表示。YUV格式信号中一个像素点的色饱和度为 $\sqrt{{(u(i,j)-128)}^2+{(v(i,h)-128)}^2}.$ The invention provides a method for processing chroma information of a YUV format image. In the method, the image collected by a coding source is a data model on a YUV space, and the chroma signal includes a color signal (ie, a hue signal) and a color saturation signal. The color signal of the YUV format signal is represented by an angle, that is, the color phase angle of a pixel is passed

express. The color saturation of a pixel in a YUV format signal is $\sqrt{{(u(i,j)-128)}^2+{(v(i,h)-128)}^2}.$

The method provided in Embodiment 2 is applicable to the case where the captured YUV format image generally has color noise or color cast, or has color noise and color cast at the same time. For the case of no color noise and no color cast, the method provided in Embodiment 1 . The definition of noise and color cast in a YUV format image is common knowledge of those skilled in the art, and does not belong to the scope of the present invention, so it will not be described here. The specific implementation of the present invention will be described below in conjunction with the accompanying drawings.

Referring to FIG. 2 , embodiment 2 adds a color noise processing method and a color cast correction method on the basis of embodiment 1.

Here, under different circumstances, step 201 and step 202 are described in several situations:

(1) When the first image frame (original image) has no color noise and no color cast, then step 201 and step 202 are not performed, and the chrominance information processing method of the entire YUV format image is the embodiment 1 (that is, step 203) whole method, then the first current image frame described in the corresponding embodiment 1 is exactly the first image frame (i.e. original image);

(2) When the first image frame (original image) has color noise and no color cast, then only the operation of step 201 is performed, and the first current image frame described in embodiment 1 (that is, step 203) is the second image frame;

(3) When the first image frame (original image) has color noise and color cast, then perform the operations of step 201 and step 202, and now the first current image frame described in embodiment 1 (that is, step 203) is the first current image frame three image frames;

(4) When the first image frame (original image), there is no color noise but color cast, then only the operation of step 202 is carried out, and the first current image frame described in embodiment 1 (that is, step 203) is now The third image frame.

In order to describe the whole method concisely, step 201, step 202, and step 203 are described in one process below, but according to different situations, the above-mentioned special instructions shall be followed during execution.

Step 201: remove the color noise of the first image frame (i.e. the current image frame) to obtain the second image frame;

The method for removing the color noise of the first image frame (ie original image) can be:

Remove color noise with a low-pass filter

u1(i,j)=filter(u0(i,j)), v1(i,j0=filter(v0(i,j))

Among them: u1(i, j), v1(i, j) are the chroma values transformed by u0(i, j), v0(i, j) respectively through the low-pass filter, and filter(x) can be the image Low-pass filters commonly used in denoising, such as median and mean filters;

u0(i, j): represents the first image frame (original image), the pixel value of the chroma u component in row i and column j;

v0(i, j): represents the first image frame (original image), the pixel value of the chroma v component in row i and column j;

u1(i, j), v1(i, j) are respectively the pixel values of u0(i, j), v0(i, j) after low-pass filtering; filter(x); can choose the well-known in the industry , Commonly used image denoising low-pass filters, such as median and mean filters.

Step 202: For the second image frame (in the case of color noise, the second image frame is the second image frame obtained in step 201, that is, the current image frame that has removed color noise; when there is no color noise, the second image frame The second image frame is the first image frame) for color cast correction to obtain the third image frame;

Referring to Figure 3, the method for color cast correction can be:

Step 2021: Obtain the color cast correction statistical area of the second image frame; the method can be:

Step 2021A: Screening the color cast statistical pixel points in the second image frame: the screening method is: judging whether the pixel points of the second image frame meet the screening conditions at the same time; if so, it is the color cast statistical pixel point;

Wherein the filter conditions are:

y(i,j)＞Thres _y |u _frame2 (i,j)-128|＜Thres _u

|v _frame2 (i, j)-128|＜Thres _v

|(u _frame2 (i, j)-128)+(v _frame2 (i, j)-128)|＜Thres _uv

y(i, j)-|u _frame2 (i, j)-128|-|v _frame2 (i, j)-128|＞Thres _yuv

Among them, Thres _j , j=y, u, v, uv, yuv are the corresponding statistical thresholds;

y(i, j): represents the second image frame, the pixel value of the luminance y component in row i and column j; u _frame2 (i, j), is the second image frame, the pixel value of chrominance u component in row i and column j value; v _frame2 (i, j) is the second image frame, the pixel value of the chroma v component in row i and column j.

Thres _y represents the statistical threshold of the color cast statistical pixel brightness component y;

Thres _u represents the statistical threshold of color cast statistical pixel chroma component u;

Thres _v represents the statistical threshold of color cast statistical pixel chroma component v;

Thres _uv represents the statistical threshold of color cast statistical pixel chroma component u and chroma component v;

Thres _yuv represents the statistical threshold of the luminance component y, the chrominance component u, and the chrominance component v of the color cast statistical pixel point.

The method of obtaining the above statistical threshold is as follows:

Step 301: Obtain a first number n (n>=25) of images with color cast and no color noise;

Step 302: Calculate the minimum value of the luminance component y (i, j) of all pixels in the kth (k=1, 2, ..., n) image in the above image;

表示对属于第k个图像所有像素其亮度分量y(i，j)求最小值；The minimum value is recorded as y _{k, min} ; k=1, 2, ..., n, y _{k, min} is the minimum value of its luminance component y (i, j) of all pixels in the kth image ,

Represents the minimum value of the brightness component y(i, j) of all pixels belonging to the kth image;

Step 303; Calculate the maximum value of the chroma component u(i, j) corresponding variable |u(i, j)-128| of all pixels in the kth image in the above image;

表示对属于第k个图像所有像素其色度分量u(i，j)对应变量|u(i，j)-128|求最大值，|u(i，j)-128|表示对u(i，j)-128求绝对值。The maximum value is recorded as u _{k, max} ; k=1, 2, ..., n, u _{k, max} is the corresponding variable of the chrominance component u(i, j) of all pixels in the kth image the maximum value of |u(i,j)-128|,

Represents the maximum value of the chrominance component u(i, j) corresponding variable |u(i, j)-128| for all pixels belonging to the k-th image, and |u(i, j)-128| represents the value of u(i , j)-128 seeks the absolute value.

Step 304: Calculate the maximum value of the variable |v(i, j)-128| corresponding to the chrominance component v(i, j) of all pixels in the kth image in the above image;

表示对属于第k个图像所有像素其色度分量v(i，j)对应变量|v(i，j))-128|求最大值，|v(i，j)-128|表示对v(i，j)-128求绝对值；The maximum value is recorded as v _{k, max} ; k=1, 2, ..., n, v _{k, max} is the corresponding variable of the chroma component v (i, j) of all pixels in the k image the maximum value of |v(i,j)-128|,

Represents the maximum value of the chrominance component v(i, j) corresponding variable |v(i, j))-128| for all pixels belonging to the k-th image, and |v(i, j)-128| represents the value of v( i, j)-128 to find the absolute value;

Step 305: Calculate the corresponding variables of the chrominance components u(i, j) and v(i, j) of all pixels in the kth image|(u(i, j)-128)+(v(i, j)- 128)|The maximum value;

表示对属于第k个图像所有像素其色度分量u(i，j)、v(i，j)对应变量|(u(i，j)-128)+(v(i，j)-128)|求最大值，|(u(i，j)-128)+(v(i，j)-128)|表示对(u(i，j)-128)+(v(i，j)-128)求绝对值；The maximum value is denoted as uv _{k, max} ; k=1, 2, ..., n, uv _{k, max} is the chrominance components u(i, j), v of all pixels in the kth image (i, j) corresponds to the maximum value of the variable |(u(i, j)-128)+(v(i, j)-128)|,

Represents the corresponding variables of the chrominance components u(i, j) and v(i, j) for all pixels belonging to the kth image|(u(i, j)-128)+(v(i, j)-128) | Find the maximum value, |(u(i, j)-128)+(v(i, j)-128)| means pair (u(i, j)-128)+(v(i, j)-128 ) to find the absolute value;

Step 306: Calculate the corresponding variable y(i, j)-|u( The minimum value of i, j)-128|-|v(i, j)-128|;

表示对属于第k个图像所有其亮度分量y(i，j)及其色度分量u(i，j)、v(i，j)对应变量y(i，j)-|u(i，j)-128|-|v(i，j)-128|求最小值，|u(i，j)-128|表示对u(i，j)-128求绝对值，|v(i，j)-128|表示对v(i，j)-128求绝对值；The minimum value is denoted as yuv _{k, min} ; k=1, 2, ..., n, yuv _{k, min} is the luminance component y (i, j) and its color of all pixels in the kth image The minimum value of the degree component u(i, j) and v(i, j) corresponding to the variable y(i, j)-|u(i, j)-128|-|v(i, j)-128|,

Indicates the corresponding variable y(i, j)-|u(i, j) for all the luminance components y(i, j) and their chrominance components u(i, j), v(i, j) belonging to the kth image )-128|-|v(i, j)-128| seeks the minimum value, |u(i, j)-128| means to seek the absolute value of u(i, j)-128, |v(i, j) -128| means to find the absolute value of v(i, j)-128;

Step 307:

Step31: Arrange the above n minimum values y _{k, min} , k=1, 2, ..., n in descending order, and select the minimum value at the ceil(95%*n) position in the arrangement as Thres _y , namely Thres _y = y _{ceil(95%*n), min} ;

Step32: Arrange the n maximum values u _{k, max} , k=1, 2, _. That is Thres _u = u _{ceil(95%*n), max} ;

Step33: Arrange the n maximum values v _{k, max} , k=1, 2, ..., n in ascending order, and select the maximum value at the ceil(95%*n) position in the arrangement as Thres _v , That is Thres _v = v _{ceil(95%*n), max} ;

Step34: Arrange the n maximum values uv _{k, max} , k=1, 2, ..., n in ascending order, and select the maximum value at the ceil(95%*n) position in the arrangement as Thres _uv , That is Thres _uv = uv _{ceil (95%*n), max} ;

Step35: Arrange the n minimum values yuv _{k, min} , k=1, 2, ..., n in descending order, and select the minimum value at the ceil (95%*n) position in the arrangement as Thres _yuv , That is Thres _yuv = yuv _{ceil (95%*n), min} ;

Wherein the above-mentioned symbol ceil(x) means that x is rounded up, that is, if 95%*n is an integer then ceil(x)=95%*n; if 95%*n is a real number containing a decimal, then ceil(x )=[95%*n]+1, where [95%*n] means the real number 95%*n is the integer part; the percentage here; you can choose 95% or other values, but it is generally not recommended not to choose low less than 90% or higher than 99%.

The above steps 301 to 307 are a method for obtaining the statistical threshold, and other known statistical methods for the threshold may also be used, which will not be repeated here.

即所有偏色统计像素点的u分量的集合就是偏色校正统计区域而所有偏色统计像素点的v分量的集合就是偏色校正统计区域

Step 2021B; Then, obtain the statistical area of color cast correction:

That is, the set of u components of all color cast statistical pixels is the color cast correction statistical area The set of v components of all color cast statistical pixels is the color cast correction statistical area

Step 2022: Acquire chromaticity deviation correction parameters according to the color cast correction statistics area;

The acquisition method can be:

α _u is the color cast correction parameter corresponding to the chroma component u(i, j)

α _v is the color cast correction parameter corresponding to the chroma component v(i, j)

为对属于校正统计区域的所有u_frame2(i，j)求均值

For the pair belonging to the corrected statistical area All u _frame2 (i, j) mean

为对属于校正统计区域的所有v_frame2(i，j)求均值；所有偏色统计像素点的u分量的集合就是偏色校正统计区域所有偏色统计像素点的v分量的集合就是偏色校正统计区域

For the pair belonging to the corrected statistical area All v _frame2 (i, j) of all v frame2 (i, j) are averaged; the set of u components of all color cast statistical pixels is the color cast correction statistical area The set of v components of all color cast statistical pixels is the color cast correction statistical area

Step 2023: Perform color cast correction according to the chromaticity deviation correction parameters;

The method for correcting the color cast described in this step can adopt a color cast correction method known to those skilled in the art, so it will not be repeated here.

Step 203: Perform adaptive chroma information enhancement processing on the acquired third image frame.

The method for performing adaptive chroma information enhancement processing on a YUV format image is the method in Embodiment 1 provided by the present invention, and will not be repeated here.

Embodiment 3. Corresponding to Embodiment 1, the present invention provides a device for processing chroma information of images in YUV format. Referring to FIG. 4, the device includes: a first acquisition unit, a second acquisition unit, a third acquisition unit, and a fourth acquisition unit. Acquisition unit, chroma transformation unit;

The first acquisition unit is used to pre-acquire the empirical interval [θ ₁ , θ ₂ ] of the color to be enhanced;

The second obtaining unit is used to obtain the chroma saturation information κ of the first current image frame frame;

A third acquisition unit, configured to acquire adjustment parameters according to the chroma-saturation information κ;

The fourth obtaining unit is used to obtain the weight function;

The chroma conversion unit is configured to perform chroma conversion through the chroma-saturation information κ, adjustment parameters, weight functions and pre-built chroma conversion functions.

Wherein: the first acquisition unit includes: a first image acquisition unit, an enhanced color acquisition unit, and an experience interval acquisition unit;

The first image acquisition unit is used to acquire P (P>=25) YUV format images, and the P images are images without noise, without color cast, and with required enhanced colors;

Enhanced color acquisition unit, used to acquire the required enhanced color in the mth (m=1, 2, ..., P) image, and the angles of all pixels in the area where it is located

获取所有θ_i，j的最小值，记为 ${\mathrm{\&theta;}}_1=\min \left(\mathrm{arac}\tan \left(\frac{v(i,j)-128}{u(i,j)-128}\right)\right)$ The empirical interval acquisition unit is used for

Get the minimum value of all θ _{i, j} , denoted as ${\mathrm{\&theta;}}_1=\min \left(\mathrm{arac}\mathrm{the\; tan}\left(\frac{v(i,j)-128}{u(i,j)-128}\right)\right)$

获取所有θ_i，j的最大值，记为according to

Obtain the maximum value of all θ _{i, j} , denoted as

${\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; max</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; arac</span>}\mathrm{<span\; class="notranslate">\; the\; tan</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; v</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 128</span>}}{\mathrm{<span\; class="notranslate">\; u</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 128</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; )</span><span\; class="notranslate">\; ;</span>$

Among them, u(i, j): represents an image in YUV format, the pixel value of the chroma u component in row i and column j; v(i, j): represents an image in YUV format, and the chroma v component is in row i and column j Pixel value; θi _{, j} is the angle of the current pixel in the area where the color needs to be enhanced in the mth image; i is the row label of the current pixel, and j is the column label of the current pixel.

Wherein, the second obtaining unit is used to obtain the color saturation information κ of the first current image frame frame specifically as follows:

$\mathrm{\&kappa;}=\mathrm{mean}\left(\sqrt{{(u_{\mathrm{frame}}(i,j)-128)}^2+{(v_{\mathrm{frame}}(i,j)-128)}^2}\right|u_{\mathrm{frame}}(i,j)$ and v _frame (i, j) ∈ frame)

frame is the first current image frame, κ is the hue saturation information of the first current image frame,

求均值；u_frame(i，j)为第一当前图像帧frame，色度u分量在i行j列的像素值；v_frame(i，j)为第一当前图像帧frame，色度v分量在i行j列的像素值。 $\mathrm{mean}\left(\sqrt{{(u_{\mathrm{frame}}(i,j)-128)}^2+{(v_{\mathrm{frame}}(i,j)-128)}^2}\right|u_{\mathrm{frame}}(i,j)$ and v _frame (i, j) ∈ frame) are the corresponding variables for all chrominance components u _frame (i, j) and v _frame (i, j) belonging to the first current image frame

Find the mean value; u _frame (i, j) is the first current image frame frame, the pixel value of the chroma u component in i row j column; v _frame (i, j) is the first current image frame frame, the chroma v component The pixel value at row i and column j.

Wherein, the third acquisition unit described in this embodiment includes a first parameter acquisition unit and a second parameter acquisition unit;

The first parameter acquisition unit is used for

The second parameter gets the unit for

β _u is the adjustment parameter of the chroma component u, β _v is the adjustment parameter of the chroma component v, and γ _u is the target chroma saturation constant of the chroma component u, which is determined by the user according to actual needs. Considering that the color is too strong, Human eyes will feel uncomfortable, generally γ _u < 80, γ _v is the target chroma saturation constant of chroma component v, which is determined by the user according to actual needs. Considering that the color is too strong, human eyes will feel uncomfortable, Generally, γ _v <80; κ is the chroma saturation information of the first current image frame.

Wherein, the fourth acquiring unit described in this embodiment includes: a setting unit, a judging unit; a determining unit;

A setting unit is used to set the weight function w=η(θ);

Judgment unit, used to judge whether η(θ) is a continuous function, and η(θ) has only one maximum point, and the maximum point of η(θ) is located at (θ ₁ +θ ₂ )/2; if so, notify and confirm Unit η(θ) is the weight function w; otherwise re-enter the setup unit;

The determining unit determines η(θ) as the weight function w according to the result of the judging unit.

Wherein, the "pre-built chromaticity transformation function" described in the chromaticity transformation unit described in this embodiment is specifically:

u3(i,j)=clip(w*((u _frame (i,j)-128)*β _u +128),0,255), v3(i,j)=clip(w*((v _frame (i ,j)-128)* _βv +128),0,255);

Wherein w is the weight function described, β _u is the adjustment parameter of chroma component u, and β _v is the adjustment parameter of chroma component v;

Wherein u _frame (i, j) is the first current image frame frame, and the chroma u component is at the pixel value of i row j column; v _frame (i, j) is the first current image frame frame, and the chroma v component is at i The pixel value of row j and column; u3(i, j), v3(i, j) are respectively the pixel values after u _frame (i, j) and v _frame (i, j) are enhanced by color, $\mathrm{clip}(x,\mathrm{0,255})=\left\{\begin{array}{cc}0,& x<0\\ x,& 0\&le;x\&le;255\\ 255,& x>255\end{array}\right..$

Embodiment 4, referring to FIG. 5, corresponds to Embodiment 2, and further includes a color noise removal unit on the basis of the chrominance information processing device of the YUV format image provided in Embodiment 3;

The color noise removal unit is used to remove the color bar noise of the first image frame to obtain the second image frame;

Wherein, the color noise removal unit described in this embodiment includes: a first removal unit, and a second removal unit;

The first removal unit is used to remove the color bar noise u1(i, j)=filter(u0(i, j)) using a low-pass filter;

The second removal unit is used to remove color bar noise v1(i, j)=filter(v0(i, j)) using a low-pass filter

Among them: u1(i, j), v1(i, j) are the chroma values transformed by u0(i, j), v0(i, j) respectively through the low-pass filter, and filter(x) can be the image Low-pass filters commonly used in denoising, such as median and mean filters;

u0(i, j); represents the first image frame (original image), the pixel value of the chroma u component in row i and column j;

v0(i, j): represents the first image frame (original image), the pixel value of the chroma v component in row i and column j;

u1(i, j), v1(i, j) are the pixel values after u0(i, j), v0(i, j) are low-pass filtered, respectively; filter(x) can be commonly used in image denoising low pass filter.

Embodiment 5, corresponding to Embodiment 2, referring to FIG. 6 , on the basis of the chromaticity information processing device of the YUV format image provided in Embodiment 3, it further includes a first color cast correction unit;

A first color cast correction unit; used to correct the color cast of the second image frame and obtain a third image frame

Wherein, the first color cast correction unit described in this embodiment includes: a first statistical area acquisition unit, a correction parameter acquisition unit, and a second color cast correction unit;

A first statistical area acquisition unit, configured to acquire the color cast correction statistical area of the second image frame;

A correction parameter acquisition unit, configured to acquire chromaticity deviation correction parameters according to the color cast correction statistical area;

The second color cast correction unit is configured to correct the color cast according to the chromaticity deviation correction parameters.

Wherein, referring to FIG. 7 , the first statistical area acquisition unit described in this embodiment includes: a statistical pixel point unit, and a second statistical area acquisition unit;

A statistical pixel point unit, configured to screen color cast statistical pixels in the second image frame;

所有偏色统计像素点的v分量的集合就是偏色校正统计区域

The second statistical area acquisition unit is used to obtain the set of U components and the set of V components of the color cast statistical pixels; the set of u components of all color cast statistical pixels is the color cast correction statistical area

The set of v components of all color cast statistical pixels is the color cast correction statistical area

Wherein, the statistical pixel point unit described in this embodiment includes: a judging unit, a statistical threshold acquisition unit;

A judging unit, configured to judge whether the pixels of the second image frame meet the screening conditions at the same time; if so, it is a color cast statistical pixel;

The filter criteria are:

y(i,j)＞Thres _y |u _frame2 (i,j)-128|＜Thres _u

|v _frame2 (i, j)-128|＜Thres _v

|(u _frame2 (i, j)-128)+(v _frame2 (i,)-128)|＜Thres _uv

y(i, j)-|u _frame2 (i, j)-128|-|v _frame2 (i, j)-128|＞Thres _yuv

Among them, Thres _j , j=y, u, v, uv, yuv are the corresponding statistical thresholds;

y(i, j): Indicates the second image frame, the brightness y is the pixel value in row i and column j; u _frame2 (i, j) is the second image frame, and the chroma u component is in row i and column j Pixel value; v _frame2 (i, j) is the second image frame, the pixel value of the chroma v component in row i and column j.

Thres _y represents the statistical threshold of the color cast statistical pixel brightness component y;

Thres _u represents the statistical threshold of color cast statistical pixel chroma component u;

Thres _v represents the statistical threshold of color cast statistical pixel chroma component v;

Thres _uv represents the statistical threshold of color cast statistical pixel chroma component u and chroma component v;

Thres _yuv represents the statistical threshold of the luminance component y, the chrominance component u, and the chrominance component v of the color cast statistical pixel point;

Statistical threshold acquisition unit, used to acquire first number n (n>=25) YUV format images with color cast and no color noise;

Calculate the minimum value of the brightness component y(i, j) of all pixels in the kth image in the above image;

表示对属于第k个图像所有像素其亮度分量y(i，j)求最小值；The minimum value is recorded as y _{k, min} ; k=1, 2, ..., n, y _{k, min} is the minimum value of its luminance component y(i, j) of all pixels in the kth image ,

Represents the minimum value of the brightness component y(i, j) of all pixels belonging to the kth image;

Calculate the maximum value of the variable |u(i, j)-128| corresponding to the chroma component u(i, j) of all pixels in the kth image in the above image;

表示对属于第k个图像所有像素其色度分量u(i，j)对应变量|u(i，j)-128|求最大值，|u(i，j)-128|表示对u(i，j)-128求绝对值。The maximum value is recorded as u _{k, max} ; k=1, 2, ..., n, u _{k, max} is the corresponding variable of the chrominance component u(i, j) of all pixels in the kth image the maximum value of |u(i,j)-128|,

Represents the maximum value of the chrominance component u(i, j) corresponding variable |u(i, j)-128| for all pixels belonging to the k-th image, and |u(i, j)-128| represents the value of u(i , j)-128 seeks the absolute value.

Calculate the maximum value of the variable |v(i, j)-128| corresponding to the chrominance component v(i, j) of all pixels in the kth image in the above image;

表示对属于第k个图像所有像素其色度分量v(i，j)对应变量|v(i，j)-128|求最大值，|v(i，j)-128|表示对v(i，j)-128求绝对值；The maximum value is recorded as v _{k, max} ; k=1, 2, ..., n, v _{k, max} is the corresponding variable of the chroma component v (i, j) of all pixels in the k image the maximum value of |v(i,j)-128|,

Represents the maximum value of the chrominance component v(i, j) corresponding variable |v(i, j)-128| for all pixels belonging to the kth image, and |v(i, j)-128| represents the value of v(i , j)-128 seeks the absolute value;

Calculate the corresponding variables of the chrominance components u(i,j) and v(i,j) of all pixels in the kth image |(u(i,j)-128)+(v(i,j)-128)| the maximum value;

表示对属于第k个图像所有像素其色度分量u(i，j)、v(i，j)对应变量|(u(i，j)-128)+(v(i，j)-128)|求最大值，|(u(i，j)-128)+(v(i，j)-128)|表示对(u(i，j)-128)+(v(i，j)-128)求绝对值；The maximum value is denoted as uv _{k, max} ; k=1, 2, ..., n, uv _{k, max} is the chrominance components u(i, j), v of all pixels in the kth image (i, j) corresponds to the maximum value of the variable |(u(i, j)-128)+(v(i, j)-128)|,

Represents the corresponding variables of the chrominance components u(i, j) and v(i, j) for all pixels belonging to the kth image|(u(i, j)-128)+(v(i, j)-128) | Find the maximum value, |(u(i, j)-128)+(v(i, j)-128)| means pair (u(i, j)-128)+(v(i, j)-128 ) to find the absolute value;

Calculate the luminance component y(i, j) and its chrominance component u(i, j), v(i, j) corresponding variable y(i, j)-|u(i, j) of all pixels in the kth image )-128|-|v(i,j)-128|minimum value;

表示对属于第k个图像所有其亮度分量y(i，j)及其色度分量u(i，j)、v(i，j)对应变量y(i，j)-|u(i，j)-128|-|v(i，j)-128|求最小值，|u(i，j)-128|表示对u(i，j)-128求绝对值，|v(i，j)-128|表示对v(i，j)-128求绝对值；The minimum value is denoted as yuv _{k, min} ; k=1, 2, ..., n, yuv _{k, min} is the luminance component y (i, j) and its color of all pixels in the kth image The minimum value of the degree component u(i, j) and v(i, j) corresponding to the variable y(i, j)-|u(i, j)-128|-|v(i, j)-128|,

Indicates the corresponding variable y(i, j)-|u(i, j) for all the luminance components y(i, j) and their chrominance components u(i, j), v(i, j) belonging to the kth image )-128|-|v(i, j)-128| seeks the minimum value, |u(i, j)-128| means to seek the absolute value of u(i, j)-128, |v(i, j) -128| means to find the absolute value of v(i, j)-128;

Among them, the above n minimum values y _{k, min} , k=1, 2, ..., n are arranged in descending order, and the minimum value at the ceil (95%*n) position in the arrangement is selected as Thres _y , namely Thres _y = y _{ceil(95%*n), min} ;

Arrange the n maximum values u _{k, max ,} k=1, 2, . _u = u _{ceil(95%*n), max} ;

Arrange the n maximum values v _{k, max} , k=1, 2, ..., n in ascending order, select the maximum value at the ceil(95%*n) position in the arrangement as Thres _v , namely _v = v _{ceil(95%*n), max} ;

Arrange the n maximum values uv _{k, max} , k=1, 2, ..., n in ascending order, and select the maximum value at the ceil (95%*n) position in the arrangement as Thres _uv , namely Thres _uv = uv _{ceil(95%*n), max} ;

Arrange the n minimum values yuv _{k, min} , k=1, 2, ..., n in descending order, and select the minimum value at the ceil (95%*n) position in the arrangement as Thres _yuv , namely Thres _yuv = yuv _{ceil(95%*n), min} ;

The above-mentioned symbol ceil(x) indicates that x is rounded up.

Embodiment 6, corresponding to Embodiment 2, referring to FIG. 8 , on the basis of the chrominance information processing device for YUV format images provided in Embodiments 3, 4, and 5, this embodiment also includes a color noise removal unit, a first offset A color correction unit, a first acquisition unit, a second acquisition unit, a third acquisition unit, a fourth acquisition unit, and a chroma transformation unit.

Each of the above units has been described in detail in Embodiment 3 to Embodiment 5, and will not be repeated here.

In summary, through the chrominance information processing method of the new YUV format image provided by the present invention, the amount of calculation is first reduced, because at present in the field of video compression technology, the video source format is mostly YUV format image, and the present invention is based on The chromaticity processing method on this model, whether it is color noise removal or color cast judgment, color enhancement is based on this model. Compared with methods based on other color models, the amount of calculation on model conversion is reduced.

The second avoids the problem of area detection accuracy in the prior art; ① because the area detection method is not used, the problem caused by area detection misjudgment is avoided; ② in addition, because the image is composed of pixels, if the pixel-based In the region detection method, some discrete points will appear; ③The chromaticity enhancement method based on region detection will cause the color enhancement intensity of the region border to be different, resulting in the problem of color change jump. If there is a region detection error, It's even more obvious. But what the present invention adopts is the method based on the weight enhancement of color, can balance transition along with color change. At the same time, it also reduces the amount of calculation brought by the area detection.

Those of ordinary skill in the art can understand that all or part of the steps in the method of the above-mentioned embodiments can be completed by program instructions and related hardware, and the program can be stored in a computer-readable storage medium. The storage medium can be ROM, RAM, magnetic disk, optical disk, etc.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. within range.

Claims (26)

1. a chromaticity information processing method of a YUV format image, is characterized in that, described method comprises: Obtain the chroma-saturation information κ of the first current image frame; Acquiring adjustment parameters according to the chroma-saturation information κ; Obtain the weight function through the pre-acquired empirical interval [θ ₁ , θ ₂ ] of the required enhanced color distribution; The chroma transformation is performed through the chroma-saturation information κ, the adjustment parameter, the weight function and the pre-built chroma transformation function. 2. The chromaticity information processing method of the YUV format image according to claim 1, is characterized in that, the acquisition method of described " the empirical interval [θ ₁ , θ ₂ ] of the desired enhanced color distribution acquired in advance" is : Acquiring P (P>=25) YUV format images, the P images are noise-free, without color cast, and have enhanced color images; Obtain the angles of all pixels in the area where the enhanced color is required in the mth image among the P YUV format images ${\mathrm{\&theta;}}_{i,j}=\mathrm{arac}\mathrm{the\; tan}\left(\frac{v(i,j)-128}{u(i,j)-128}\right);$ according to

Get the minimum value of all θ _{i, j} , denoted as ${\mathrm{\&theta;}}_1=\min \left(\mathrm{arac}\mathrm{the\; tan}\left(\frac{v(i,j)-128}{u(i,j)-128}\right)\right)$ according to

Obtain the maximum value of all θ _{i, j} , denoted as ${\mathrm{\&theta;}}_2=\max \left(\mathrm{arac}\mathrm{the\; tan}\left(\frac{v(i,j)-128}{u(i,j)-128}\right)\right)$ Where u(i, j): represents an image in YUV format, the pixel value of the chroma u component in row i and column j; v(i, j): represents an image in YUV format, and the chroma v component is in row i and column j Pixel value; θi _{, j} is the angle of the current pixel in the area where the color needs to be enhanced in the mth image; i is the row label of the current pixel, and j is the column label of the current pixel. 3. the chroma information processing method of YUV format image according to claim 2, is characterized in that, described " obtaining the chroma saturation information κ of the first current image frame " is specifically: $\mathrm{\&kappa;}=\mathrm{mean}\left(\sqrt{{(u_{\mathrm{frame}}(i,j)-128)}^2+{(v_{\mathrm{frame}}(i,j)-128)}^2}\right|u_{\mathrm{frame}}(i,j)$ and v _frame (i, j) ∈ frame) frame is the first current image frame, κ is the hue saturation information of the first current image frame, $\mathrm{mean}\left(\sqrt{{(u_{\mathrm{frame}}(i,j)-128)}^2+{(v_{\mathrm{frame}}(i,j)-128)}^2}\right|u_{\mathrm{frame}}(i,j)$ and v _frame (i,) ∈ frame) are the corresponding variables for all chrominance components u _frame (i, j) and v _frame (i, j) belonging to the first current image frame

Find the mean value; u _frame (i, j) is the first current image frame frame, the pixel value of the chroma u component in i row j column; v _frame (i, j) is the first current image frame frame, the chroma v component The pixel value at row i and column j. 4. the chroma information processing method of YUV format image according to claim 3, is characterized in that, described " obtain adjustment parameter according to described chroma saturation information κ " be specifically: ${\mathrm{<span\; class="notranslate">\; \&beta;</span>}}_{\mathrm{<span\; class="notranslate">\; u</span>}}<span\; class="notranslate">\; =</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; *</span>{\mathrm{<span\; class="notranslate">\; \&gamma;</span>}}_{\mathrm{<span\; class="notranslate">\; u</span>}}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; \&kappa;</span>}$ ${\mathrm{<span\; class="notranslate">\; \&beta;</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}}<span\; class="notranslate">\; =</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; *</span>{\mathrm{<span\; class="notranslate">\; \&gamma;</span>}}_{\mathrm{<span\; class="notranslate">\; v</span>}}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; \&kappa;</span>}$ β _u is the adjustment parameter of the chroma component u, β _v is the adjustment parameter of the chroma component v, and γ _u is the target chroma saturation constant of the chroma component u, which is determined by the user according to actual needs. Considering that the color is too strong, Human eyes will feel uncomfortable, generally γ _u < 80, γ _v is the target chroma saturation constant of chroma component v, which is determined by the user according to actual needs. Considering that the color is too strong, human eyes will feel uncomfortable, Generally, γ _v <80; κ is the chroma saturation information of the first current image frame. 5. the chroma information processing method of YUV format image according to claim 4, is characterized in that, described " obtaining weight function " is specifically: set function η(θ); Determine whether η(θ) is a continuous function, η(θ) has only one maximum point, and the maximum point of η(θ) is located at (θ ₁ +θ ₂ )/2; If so, η(θ) is the weight function w; Wherein [θ ₁ , θ ₂ ] is the empirical interval of the required enhanced color. 6. the chromaticity information processing method of YUV format image according to claim 5, is characterized in that, described pre-built chromaticity variable function is: u3(i,j)=clip(w*((u _frame (i,j)-128)*β _u +128),0,255), v3(i,j)=c1ip(w*((v _frame (i ,j)-128)* _βv +128),0,255); Wherein w is the weight function described, β _u is the adjustment parameter of chroma component u, and β _v is the adjustment parameter of chroma component v; Wherein u _frame (i, j) is the first current image frame frame, and the chroma u component is at the pixel value of i row j column; v _frame (i, j) is the first current image frame frame, and the chroma v component is at i The pixel value of row j and column; u3(i, j), v3(i, j) are respectively the pixel values after u _frame (i, j) and v _frame (i, j) are enhanced by color, $\mathrm{clip}(x,\mathrm{0,255})=\left\{\begin{array}{cc}0,& x<0\\ x,& 0\&le;x\&le;255\\ 255,& x>255\end{array}\right..$ 7. The chromaticity information processing method of one of the YUV format images according to claim 6, characterized in that, in "by the chromaticity information of the current YUV format image, obtain the chromaticity of the first current image frame image frame Saturation information κ" further includes: The color noise of the first image frame (that is, the original image) is removed to obtain the second image frame. 8. The chroma information processing method of the YUV format image according to claim 6 or 7, is characterized in that, after the described "remove the color noise of the first image frame (ie original image), obtain the second image frame" Further includes: Perform color cast correction on the second image frame to obtain a third image frame. 9. The chromaticity information processing method of YUV format image according to claim 7, is characterized in that, described " remove the color noise of the first image frame " be specifically: Use low-pass filter to remove color noise u1(i, j)=filter(u0(i, j)), v1(i, j)=filter(v0(i, j)) Among them: u1(i, j), v1(i, j) are the chroma values transformed by u0(i, j), v0(i, j) respectively through the low-pass filter, and filter(x) can be the image Low-pass filters commonly used in denoising, such as median and mean filters; u0(i, j): represents the first image frame (original image), the pixel value of the chroma u component in row i and column j; v0(i, j): represents the first image frame (original image), the pixel value of the chroma v component in row i and column j; u1(i, j), v1(i, j) are the pixel values after u0(i, j), v0(i, j) are low-pass filtered, respectively; filter(x) can be commonly used in image denoising low pass filter. 10. The chromaticity information processing method of YUV format image according to claim 8, is characterized in that, described " carries out color cast correction to the second image frame, obtains the 3rd image frame " specifically is: Acquiring the color cast correction statistical area of the second image frame; Acquiring chromaticity deviation correction parameters according to the color cast correction statistics area; Color cast correction is performed according to the chromaticity deviation correction parameters. 11. The chromaticity information processing method of YUV format image according to claim 10, it is characterized in that, described " obtain the color cast correction statistics area of described second image frame " be specifically: Screening color cast statistical pixels in the second image frame; Obtain the set of U components and the set of V components of the color cast statistical pixels; the set of u components of all color cast statistical pixels is the color cast correction statistical area

The set of v components of all color cast statistical pixels is the color cast correction statistical area

12. The chromaticity information processing method of YUV format image according to claim 11, it is characterized in that, described " screening color cast statistics pixel point in described second image frame " is specifically: Judging whether the pixels of the second image frame meet the screening conditions at the same time; if so, it is a statistical pixel of color cast; Wherein the filter conditions are: y(i,j)＞Thres _y |u _frame2 (i,j)-128|＜Thres _u |v _frame2 (i, j)-128|＜Thres _v |(u _frame2 (i, j)-128)+(v _frame2 (i, j)-128)|＜Thres _uv y(i, j)-|u _frame2 (i, j)-128|-|v _frame2 (i, j)-128|＞Thres _yuv Among them, Thres _j , j=y, u, v, uv, yuv are the corresponding statistical thresholds; y(i, j): represents the second image frame, the pixel value of the luminance y component in row i and column j; u _frame2 (i, j), is the second image frame, the pixel value of chrominance u component in row i and column j Value; v _frame2 (i, j) is the second image frame, the pixel value of the chroma v component in row i and column j, Thres _y represents the statistical threshold of the color cast statistical pixel brightness component y; Thres _u represents the statistical threshold of color cast statistical pixel chroma component u; Thres _v represents the statistical threshold of color cast statistical pixel chroma component v; Thres _uv represents the statistical threshold of color cast statistical pixel chroma component u and chroma component v; Thres _yuv represents the statistical threshold of the luminance component y, the chrominance component u, and the chrominance component v of the color cast statistical pixel point. 13. The chromaticity information processing method of YUV format image according to claim 12 is characterized in that, described " Thres _y represents the statistical threshold of color cast statistics pixel point luminance component y; Thres _u represents color cast statistics pixel point color Statistical threshold of degree component u; Thres _v represents the statistical threshold of color cast statistical pixel chroma component v; Thres _uv represents statistical threshold of color cast statistical pixel chroma component u and chrominance component v; Thres _yuv represents color cast statistics The statistical threshold of the pixel luminance component y, chrominance component u, and chrominance component v” is obtained specifically as follows: Acquiring a first number n (n>=25) of images with color cast and no color noise; Calculate the minimum value of the luminance component y(i, j) of all pixels in the kth image in the above image; The minimum value is recorded as y _{k, min} ; k=1, 2, ..., n, y _{k, min} is the minimum value of its luminance component y(i, j) of all pixels in the kth image ,

Represents the minimum value of the brightness component y(i, j) of all pixels belonging to the kth image; Calculate the maximum value of the variable |u(i, j)-128| corresponding to the chroma component u(i, j) of all pixels in the kth image in the above image; The maximum value is recorded as u _{k, max} ; k=1, 2, ..., n, u _{k, max} is the corresponding variable of the chrominance component u(i, j) of all pixels in the kth image the maximum value of |u(i,j)-128|,

Represents the maximum value of the chrominance component u(i, j) corresponding variable |u(i, j)-128| for all pixels belonging to the k-th image, and |u(i, j)-128| represents the value of u(i , j)-128 to find the absolute value, Calculate the maximum value of the variable |v(i, j)-128| corresponding to the chrominance component v(i, j) of all pixels in the kth image in the above image; The maximum value is recorded as v _{k, max} ; k=1, 2, ..., n, v _{k, max} is the corresponding variable of the chroma component v (i, j) of all pixels in the k image the maximum value of |v(i,j)-128|,

Represents the maximum value of the chrominance component v(i, j) corresponding variable |v(i, j)-128| for all pixels belonging to the kth image, and |v(i, j)-128| represents the value of v(i , j)-128 seeks the absolute value; Calculate the corresponding variables of the chrominance components u(i,j) and v(i,j) of all pixels in the kth image |(u(i,j)-128)+(v(i,j)-128)| the maximum value; The maximum value is denoted as uv _{k, max} ; k=1, 2, ..., n, uv _{k, max} is the chrominance components u(i, j), v of all pixels in the kth image (i, j) corresponds to the maximum value of the variable |(u(i, j)-128)+(v(i, j)-128)|,

Represents the corresponding variables of the chrominance components u(i, j) and v(i, j) for all pixels belonging to the kth image|(u(i, j)-128)+(v(i, j)-128) Find the maximum value, |(u(i, j)-128)+(v(i, j)-128)| means (u(i, j)-128)+(v(i, j)-128) Find the absolute value; Calculate the luminance component y(i,j) and its chrominance component u(i,j), v(i,j) of all pixels in the kth image corresponding to the variable y(i,j)-|u(i,j) The minimum value of -128|-|v(i,j)-128|; The minimum value is denoted as yuv _{k, min} ; k=1, 2, ..., n, yuv _{k, min} is the luminance component y (i, j) and its color of all pixels in the kth image The minimum value of the degree component u(i, j) and v(i, j) corresponding to the variable y(i, j)-|u(i, j)-128|-|v(i, j)-128|,

Indicates the corresponding variable y(i, j)-|u(i, j) for all the luminance components y(i, j) and their chrominance components u(i, j), v(i, j) belonging to the kth image )-128|-|v(i, j)-128 to find the minimum value, |u(i, j)-128| means to find the absolute value of u(i, j)-128, |v(i, j)- 128| means to find the absolute value of v(i, j)-128; Among them, the above n minimum values y _{k, min} , k=1, 2, ..., n are arranged in descending order, and the minimum value at the ceil (95%*n) position in the arrangement is selected as Thres _y , namely Thres _y = y _{ceil(95%*n), min} ; Arrange the n maximum values u _{k, max ,} k=1, 2, . _u = u _{ceil(95%*n), max} ; Arrange the n maximum values v _{k, max} , k=1, 2, ..., n in ascending order, select the maximum value at the ceil(95%*n) position in the arrangement as Thres _v , namely _v = v _{ceil(95%*n), max} ; Arrange the n maximum values uv _{k, max} , k=1, 2, ..., n in ascending order, and select the maximum value at the ceil(95%*n) position in the arrangement as Thres _uv , namely Thres _uv = uv _{ceil(95%*n), max} ; Arrange the n minimum values yuv _{k, min} , k=1, 2, ..., n in descending order, and select the minimum value at the ceil (95%*n) position in the arrangement as Thres _yuv , namely Thres _yuv = yuv _{ceil(95%*n), min} ; The above-mentioned symbol ceil(x) indicates that x is rounded up. 14. The chromaticity information processing method of YUV format image according to claim 13, is characterized in that, described " obtains chromaticity deviation correction parameter according to described color cast correction statistics area " is specifically:

α _u is the color cast correction parameter corresponding to the chroma component u(i, j) α _v is the color cast correction parameter corresponding to the chroma component v(i, j)

For the pair belonging to the corrected statistical area

All u _frame2 (i, j) mean

For the pair belonging to the corrected statistical area

All v _frame2 (i, j) of all v frame2 (i, j) are averaged; the set of u components of all color cast statistical pixels is the color cast correction statistical area

The set of v components of all color cast statistical pixels is the color cast correction statistical area

15. A device for processing chroma information of an image in YUV format, characterized in that the device comprises: a first acquisition unit, a second acquisition unit, a third acquisition unit, a fourth acquisition unit, and a chroma conversion unit; The first acquisition unit is used to pre-acquire the empirical interval [θ ₁ , θ ₂ ] of the color to be enhanced; A second acquiring unit, configured to acquire the hue-saturation information κ of the first current image frame; A third acquisition unit, configured to acquire adjustment parameters according to the chroma-saturation information κ; The fourth obtaining unit is used to obtain the weight function; The chroma conversion unit is configured to perform chroma conversion through the chroma-saturation information κ, adjustment parameters, weight functions and pre-built chroma conversion functions. 16. The chromaticity information processing device of YUV format image according to claim 15, characterized in that, the first acquisition unit comprises: a first image acquisition unit, an enhanced color acquisition unit, and an experience interval acquisition unit; The first image acquisition unit is used to acquire P (P>=25) YUV format images, and the P images are images without noise, without color cast, and with enhanced colors; Enhanced color acquisition unit, used to acquire the required enhanced color in the mth (m=1, 2, ..., P) image, and the angles of all pixels in the area where it is located The empirical interval acquisition unit is used for

Get the minimum value of all θ _{i, j} , denoted as ${\mathrm{\&theta;}}_1=\min \left(\mathrm{arac}\mathrm{the\; tan}\left(\frac{v(i,j)-128}{u(i,j)-128}\right)\right)$ according to

Obtain the maximum value of all θ _{i, j} , denoted as ${\mathrm{\&theta;}}_2=\max \left(\mathrm{arac}\mathrm{the\; tan}\left(\frac{v(i,j)-128}{u(i,j)-128}\right)\right);$ Where u(i, j): represents an image in YUV format, the pixel value of the chroma u component in row i and column j; v(i, j): represents an image in YUV format, and the chroma v component is in row i and column j Pixel value; θi _{, j} is the angle of the current pixel in the area where the color needs to be enhanced in the mth image; i is the row label of the current pixel, and j is the column label of the current pixel. 17. The chroma information processing device of YUV format image according to claim 16, characterized in that, the second acquisition unit is used to acquire the chroma saturation information κ of the first current image frame frame is specifically: and v _frame (i, j) ∈ frame) frame is the first current image frame, κ is the hue saturation information of the first current image frame,

and v _frame (i, j) ∈ frame) are the corresponding variables for all chrominance components u _frame (i, j) and v _frame (i, j) belonging to the first current image frame Find the mean value; u _frame (i, j) is the first current image frame frame, the pixel value of the chroma u component in i row j column; v _frame (i, j) is the first current image frame frame, the chroma v component The pixel value at row i and column j. 18. The chrominance information processing device of YUV format image according to claim 17, characterized in that, the third acquisition unit comprises a first parameter acquisition unit and a second parameter acquisition unit; The first parameter acquisition unit is used for

The second parameter gets the unit for

β _u is the adjustment parameter of the chroma component u, β _v is the adjustment parameter of the chroma component v, and γ _u is the target chroma saturation constant of the chroma component u, which is determined by the user according to actual needs. Considering that the color is too strong, Human eyes will feel uncomfortable, generally γ _u < 80, γ _v is the target chroma saturation constant of chroma component v, which is determined by the user according to actual needs. Considering that the color is too strong, human eyes will feel uncomfortable, Generally, γ _v <80; κ is the chroma saturation information of the first current image frame. 19. The chromaticity information processing device of YUV format image according to claim 18, is characterized in that, described fourth acquisition unit comprises: setting unit, judging unit; Determining unit; Setting unit for setting function η(θ); Judgment unit, used to judge whether η(θ) is a continuous function, and η(θ) has only one maximum point, and the maximum point of η(θ) is located at (θ ₁ +θ ₂ )/2; if so, notify and confirm Unit η(θ) is the weight function w; otherwise, re-enter the setup unit; The determining unit determines η(θ) as the weight function w according to the result of the judging unit. 20. The chromaticity information processing device of YUV format image according to claim 19, is characterized in that, described in described chromaticity transformation unit " pre-built chromaticity transformation function " is specifically: u3(i,j)=clip(w*((u _frame (i,j)-128)*β _u +128),0,255), v3(i,j)=clip(w*((v _frame (i,j)-128)*β _v +128),0,255); Wherein w is the weight function described, β _u is the adjustment parameter of chroma component u, and β _v is the adjustment parameter of chroma component v; Among them, u _frame (i, j): the first current image frame frame, the pixel value of the chroma u component in row i and column j; v _frame (i, j): the first current image frame frame, the chroma v component in i The pixel value of row j and column; u3(i, j), v3(i, j) are respectively the pixel values after u _frame (i, j) and v _frame (i, j) are enhanced by color, $\mathrm{clip}(x,\mathrm{0,255})=\left\{\begin{array}{cc}0,& x<0\\ x,& 0\&le;x\&le;255\\ 255,& x>255\end{array}\right..$ 21. The chrominance information processing device of YUV format image according to claim 20, is characterized in that, described device further comprises the color noise removal unit; The color noise removal unit is used to remove the color stripe noise of the first image frame to obtain the second image frame. 22. The chrominance information processing device of YUV format image according to claim 20 or 21, characterized in that, the device further comprises a first color cast correction unit; A first color cast correction unit; configured to perform color cast correction on the second image frame to obtain a third image frame. 23. The chrominance information processing device of YUV format image according to claim 21, characterized in that, said color noise removal unit comprises: a first removal unit, a second removal unit; The first removal unit is used to remove the color bar noise u1(i, j)=filter(u0(i, j)) using a low-pass filter; The second removal unit is used to remove color bar noise v1(i, j)=filter(v0(i, j)) using a low-pass filter Among them: u1(i, j), v1(i, j) are the chroma values transformed by u0(i, j), v0(i, j) respectively through the low-pass filter, and filter(x) can be the image Low-pass filters commonly used in denoising, such as median and mean filters; u0(i, j): represents the first image frame (original image), the pixel value of the chroma u component in row i and column j; v0(i, j): represents the first image frame (original image), the pixel value of the chroma v component in row i and column j; u1(i, j), v1(i, j) are the pixel values after u0(i, j), v0(i, j) are low-pass filtered respectively, filter(x) can be commonly used in image denoising low pass filter. 24. The chromaticity information processing device of YUV format image according to claim 22, characterized in that, the first color cast correction unit comprises: a first statistical area acquisition unit, a correction parameter acquisition unit, a second color cast correction unit; A first statistical area acquisition unit, configured to acquire the color cast correction statistical area of the second image frame; A correction parameter acquisition unit, configured to acquire chromaticity deviation correction parameters according to the color cast correction statistical area; The second color cast correction unit is configured to correct the color cast according to the chromaticity deviation correction parameters. 25. The chromaticity information processing device of YUV format image according to claim 24, is characterized in that, the first statistical area acquisition unit comprises: statistical pixel point unit, the second statistical area acquisition unit; A statistical pixel point unit, configured to screen color cast statistical pixels in the second image frame; The second statistical area acquisition unit is used to obtain the set of U components and the set of V components of the color cast statistical pixels; the set of u components of all color cast statistical pixels is the color cast correction statistical area

The set of v components of all color cast statistical pixels is the color cast correction statistical area

26. The chromaticity information processing device of YUV format image according to claim 25, is characterized in that, described statistical pixel point unit comprises: judging unit, statistical threshold acquisition unit; A judging unit, configured to judge whether the pixels of the second image frame meet the screening conditions at the same time; if so, it is a color cast statistical pixel; Wherein the filter conditions are: y(i,j)＞Thres _y |u _frame2 (i,j)-128|＜Thres _u |v _frame2 (i, j)-128|＜Thres _v |(u _frame2 (i, j)-128)+(v _frame2 (i, j)-128)|＜Thres _uv y(i, j)-|u _frame2 (i, j)-128|-|v _frame2 (i, j)-128|＞Thres _yuv

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