CN104902143B - A kind of image de-noising method and device based on resolution ratio - Google Patents

Abstract

The embodiment of the present invention discloses a resolution-based image denoising method and device, wherein the method includes: when the camera is turned on, acquiring the current ambient light brightness value; acquiring the first resolution corresponding to the captured image of the camera and a second resolution, wherein the first resolution is the resolution output by the camera sensor, and the second resolution is the resolution required when outputting the captured image; based on the current ambient light brightness value, the The first resolution and the second resolution are used to obtain the target denoising intensity parameter of the collected image; the target denoising intensity parameter is used to perform denoising processing on the collected image, and the denoising processing is output After the captured image. By implementing the embodiment of the present invention, the quality of the output image can be improved, and the picture effect of the output image can be improved.

Description

A resolution-based image denoising method and device

technical field

The present invention relates to the technical field of image processing, in particular to a resolution-based image denoising method and device.

Background technique

At present, when the mobile phone camera performs denoising processing on the collected images, the denoising strength of the denoising processing is only determined according to the current ambient light brightness, and the darker the ambient light brightness is, the stronger the denoising strength is. However, in practical applications, when the resolution of the output image required by the shooting application is relatively low, due to the low resolution of the output image, the noise has been erased when the image is sampled. At this time, if the current ambient brightness is relatively dark, if the image is still denoised with a large denoising intensity, the output image will be very blurred, making the image effect of the output image poor.

Contents of the invention

Embodiments of the present invention provide a resolution-based image denoising method and device, which can improve the quality of an output image and improve the picture effect of the output image.

The embodiment of the present invention discloses a resolution-based image denoising method, including:

When the camera is turned on, get the current ambient light brightness value;

Obtain a first resolution and a second resolution corresponding to the captured image of the camera, wherein the first resolution is the resolution output by the camera sensor, and the second resolution is required when outputting the captured image resolution;

Acquiring a target denoising intensity parameter for the collected image based on the current ambient light brightness value, the first resolution, and the second resolution;

Using the target denoising intensity parameter to perform denoising processing on the collected image, and output the denoising processed collected image.

Optionally, the acquiring a target denoising intensity parameter for the collected image based on the current ambient light brightness value, the first resolution, and the second resolution includes:

Determine a first denoising intensity parameter for the collected image according to the current ambient light brightness value;

calculating a ratio of the first resolution to the second resolution;

According to the ratio, the first denoising intensity parameter is adjusted to obtain a target denoising intensity parameter.

Optionally, the ratio is a quotient obtained by dividing the second resolution by the first resolution, and the denoising strength corresponding to the target denoising strength parameter is proportional to the ratio.

Optionally, the ratio is a quotient obtained by dividing the first resolution by the second resolution, and the denoising strength corresponding to the target denoising strength parameter is inversely proportional to the ratio.

Optionally, the current ambient light brightness value includes the ISO value of the current ambient light sensitivity; the determining the first denoising intensity parameter for the collected image according to the current ambient light brightness value includes:

Comparing the ISO value of the current environment with the ISO value in the stored ISO interval, and judging whether the ISO value of the current environment is within the range of the ISO interval;

If the ISO value of the current environment is within the range of the ISO interval, then determining a denoising intensity parameter corresponding to the ISO interval as a first denoising intensity parameter for the collected image.

Optionally, the acquiring a target denoising intensity parameter for the collected image based on the current ambient light brightness value, the first resolution, and the second resolution includes:

Find the denoising intensity parameters corresponding to the current ambient light brightness value, the first resolution and the second resolution from the stored parameter configuration list, the parameter configuration list includes different ambient light brightness values , the mapping relationship between the first resolution and the second resolution;

Determining the found denoising strength parameter as a target denoising strength parameter of the acquired image.

Correspondingly, the embodiment of the present invention also discloses an image denoising device, including:

The first acquisition module is used to acquire the current ambient light brightness value when the camera is turned on;

The second acquisition module is configured to acquire the first resolution and the second resolution corresponding to the captured image of the camera, wherein the first resolution is the resolution output by the camera sensor, and the second resolution is the output The resolution required when the image is collected;

A parameter determination module, configured to acquire a target denoising intensity parameter for the collected image based on the current ambient light brightness value, the first resolution, and the second resolution;

An image processing module, configured to use the target denoising intensity parameter acquired by the parameter determination module to perform denoising processing on the collected image, and output the denoising processed collected image.

Optionally, the parameter determination module includes:

A first determining unit, configured to determine a first denoising intensity parameter for the collected image according to the current ambient light brightness value;

a calculation unit, configured to calculate a ratio between the first resolution and the second resolution;

A parameter adjustment unit, configured to adjust the first denoising intensity parameter according to the ratio calculated by the calculating unit to obtain a target denoising intensity parameter.

Optionally, the ratio is a quotient obtained by dividing the second resolution by the first resolution, and the denoising strength corresponding to the target denoising strength parameter is proportional to the ratio.

Optionally, the ratio is a quotient obtained by dividing the first resolution by the second resolution, and the denoising strength corresponding to the target denoising strength parameter is inversely proportional to the ratio.

Optionally, the current ambient brightness value includes an ISO value of the current ambient light sensitivity; the first determination unit is specifically configured to:

Comparing the ISO value of the current environment with the ISO value in the stored ISO interval, and judging whether the ISO value of the current environment is within the range of the ISO interval; if the ISO value of the current environment is within the ISO interval range, the denoising intensity parameter corresponding to the ISO interval is determined as the first denoising intensity parameter for the acquired image.

Optionally, the parameter determination module includes:

A search unit, configured to find the denoising intensity parameters corresponding to the current ambient light brightness value, the first resolution, and the second resolution from a stored parameter configuration list, the parameter configuration list including different The mapping relationship between the ambient light brightness value, the first resolution and the second resolution;

The second determining unit is configured to determine the denoising intensity parameter found by the searching unit as a target denoising intensity parameter of the acquired image.

In the embodiment of the present invention, when the camera is turned on, the denoising intensity parameter for the currently collected image can be determined by obtaining the current ambient light brightness value, the first resolution output by the camera sensor, and the second resolution required for the output image, namely It can adjust the denoising strength of the current image in combination with the resolution required for the output image, thereby avoiding denoising the image only according to the denoising strength determined by the current environmental parameters when the resolution required for the output image is low , resulting in blurring of the output image, so that the quality of the output image can be improved, and the image effect of the output image can be improved.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings that need to be used in the embodiments. Obviously, the drawings in the following description are some embodiments of the present invention. Those of ordinary skill in the art can also obtain other drawings based on these drawings without any creative effort.

FIG. 1 is a schematic flowchart of a resolution-based image denoising method provided by an embodiment of the present invention;

FIG. 2 is a schematic flowchart of another resolution-based image denoising method provided by an embodiment of the present invention;

FIG. 3 is a schematic flowchart of another resolution-based image denoising method provided by an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of an image denoising device provided by an embodiment of the present invention;

Fig. 5 is a schematic structural diagram of another image denoising device provided by an embodiment of the present invention;

FIG. 6 is a schematic structural diagram of another image denoising device provided by an embodiment of the present invention;

Fig. 7 is a schematic structural diagram of a terminal provided by an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The embodiment of the invention discloses a resolution-based image denoising method and device, which can improve the quality of an output image and improve the picture effect of the output image. Each will be described in detail below.

Please refer to FIG. 1 . FIG. 1 is a schematic flowchart of a resolution-based image denoising method provided by an embodiment of the present invention. Specifically, as shown in Figure 1, the resolution-based image denoising method may include the following steps:

S101: Acquire the current ambient light brightness value when the camera is turned on.

It should be noted that the method in the embodiment of the present invention can be specifically applied to smart phones (such as Android phones, iOS phones, etc.), tablet computers, mobile Internet devices (Mobile Internet Devices, MIDs), personal digital assistants (Personal Digital Assistant) , PAD) and other terminals with shooting applications installed. Wherein, the current ambient light brightness value may specifically be an ISO value of sensitivity in the current environment.

S102: Obtain a first resolution and a second resolution corresponding to the captured image of the camera, wherein the first resolution is the resolution output by the camera sensor, and the second resolution is the output of the captured image required resolution.

Specifically, generally speaking, the resolution output by the camera sensor sensor, that is, the first resolution, is a fixed resolution, such as 3k*4k=1200w (pixels), and the resolution required for shooting the image output by the application is the second resolution. In many cases, the rate does not need to reach the 1200w, for example, only 2k*3k=600w (pixels). In order to ensure the picture effect of the output image, it can be determined according to the current ambient light brightness value, combined with the first resolution and the second resolution, such as further combining the ratio of the first resolution and the second resolution The denoising strength parameter for the denoising process.

S103: Based on the current ambient light brightness value, the first resolution, and the second resolution, acquire a target denoising intensity parameter for the collected image.

As an optional implementation manner, the target denoising intensity parameter may be calculated according to the acquired current ambient light brightness value, the first resolution, and the second resolution. That is, the acquiring the target denoising intensity parameter of the collected image based on the current ambient light brightness value, the first resolution, and the second resolution may specifically be: according to the current ambient light The brightness value is used to determine the first denoising strength parameter of the collected image; to calculate the ratio of the first resolution to the second resolution; to adjust the first denoising strength parameter according to the ratio to obtain Target denoising strength parameter.

As an optional implementation, the target denoising intensity parameter can also be a preset parameter based on the stored ambient light brightness value, the mapping relationship between the first resolution and the second resolution and the denoising intensity parameter Find out in the configuration list. That is, the acquiring the target denoising intensity parameter of the collected image based on the current ambient light brightness value, the first resolution, and the second resolution may also be specifically: configure the parameter from the stored Find the denoising intensity parameters corresponding to the current ambient light brightness value, the first resolution, and the second resolution in the list, and the parameter configuration list includes different ambient light brightness values, the first resolution A mapping relationship with the second resolution; determining the found denoising intensity parameter as the target denoising intensity parameter of the acquired image.

S104: Perform denoising processing on the collected image by using the target denoising intensity parameter, and output the denoising processed collected image.

In a specific embodiment, after the target denoising intensity parameter is obtained according to the current ambient light brightness value, the first resolution, and the second resolution, image denoising processing can be performed based on the target denoising intensity parameter, so as to obtain the current shot Apply an image at the desired resolution size.

In the implementation of the embodiment of the present invention, when the camera is turned on, the denoising intensity parameter for the currently collected image can be determined by obtaining the current ambient light brightness value, the first resolution output by the camera sensor, and the second resolution required for the output image. That is, the denoising strength used for the current image can be adjusted in combination with the resolution required for the output image, thereby avoiding denoising the image only according to the denoising strength determined by the current environmental parameters when the resolution required for the output image is low The problem of blurring of the output image caused by processing can improve the quality of the output image and improve the image effect of the output image.

Further, please refer to FIG. 2 . FIG. 2 is a schematic flowchart of another resolution-based image denoising method provided by an embodiment of the present invention. Specifically, as shown in Figure 2, the resolution-based image denoising method may include the following steps:

S201: Acquire the current ambient light brightness value when the camera is turned on.

In a specific embodiment, when the user opens the shooting application and calls the camera to collect images, it can be triggered to obtain the current ambient light brightness value, so as to determine the current default denoising intensity parameter for the collected image according to the current ambient light brightness value, namely The first denoising strength parameter.

S202: Obtain a first resolution and a second resolution corresponding to the captured image of the camera, wherein the first resolution is the resolution output by the camera sensor, and the second resolution is the output of the captured image required resolution.

S203: Determine a first denoising intensity parameter for the collected image according to the current ambient light brightness value.

In an optional embodiment, the current ambient light brightness value may include a current ambient light sensitivity ISO value; and determining the first denoising intensity parameter for the collected image according to the current ambient light brightness value, It may be specifically: comparing the ISO value of the current environment with the ISO value in the stored ISO interval, and judging whether the ISO value of the current environment is within the range of the ISO interval; if the ISO value of the current environment is within If within the range of the ISO interval, the denoising intensity parameter corresponding to the ISO interval is determined as the first denoising intensity parameter for the collected image. Specifically, the ISO values in different environments can be sorted from high to low or from low to high and then divided into multiple ISO intervals. Each ISO interval includes multiple ISO values, and each ISO interval is associated with A set of denoising strength parameters, each set of denoising strength parameters corresponds to a denoising strength, and the image collected by the camera is denoised using the denoising strength parameters. After obtaining the ISO value of the current environment, the ISO interval where the current ISO value is located can be determined, thereby determining the denoising intensity parameter corresponding to the current ISO value, that is, the first denoising intensity parameter, so as to use the first denoising intensity parameter The noise intensity parameter is used to denoise the image captured by the camera.

S204: Calculate a ratio between the first resolution and the second resolution.

S205: Adjust the first denoising intensity parameter according to the ratio to obtain a target denoising intensity parameter.

As an optional implementation manner, the ratio may be the quotient obtained by dividing the second resolution by the first resolution, then the denoising strength corresponding to the target denoising strength parameter and the ratio Proportional.

Specifically, assuming that the resolution output by the camera sensor sensor, that is, the first resolution is x_output and y_output, and that the resolution required for capturing the output image of the application, that is, the second resolution is x_need and y_need, the ratio may be the second The quotient obtained by dividing the resolution by the first resolution, that is, the ratio ratio=(x_need*y_need)/(x_output*y_output). When the ratio is smaller, the noise will be erased more severely when the image processor ISP of the terminal performs sampling processing on the image collected by the camera. Therefore, the denoising strength (denoise_strength) for denoising the collected image should be smaller. At this point, the denoising strength parameters of the image can be further adjusted according to the ratio ratio. For example, the target denoising strength can be determined according to denoise_strength1*ratio, where the denoise_strength1 is the denoising strength corresponding to the first denoising strength parameter . That is to say, when the resolution required for outputting an image is consistent with the resolution output by the sensor, that is, when the size required for taking pictures is the same as the output size of the sensor, the default denoising intensity parameter, that is, the first denoising intensity parameter, can be used for image processing. Denoising processing, and with the reduction of the required resolution, the ratio ratio decreases, and the image denoising strength parameter can be readjusted, and the denoising strength of the collected image is reduced in proportion to obtain the target denoising strength such as denoise_strength= denoise_strength1*ratio, that is, the denoising strength corresponding to the target denoising strength parameter is proportional to the ratio. For example, when x_output=3k, y_output=4k, x_need=2k, y_need=3k, that is, the resolution (first resolution) output by the sensor is 3k*4k=1200w, the resolution ( The second resolution) is 2k*3k=600w, then ratio=600w/1200w=0.5, then the default denoising intensity parameter (namely the first denoising intensity parameter) determined according to the current ambient light brightness value can be adjusted to obtain the target The denoising strength parameter, so that the denoising strength corresponding to the target denoising strength parameter is half of the denoising strength corresponding to the default denoising strength parameter, so as to reduce the denoising strength of the image captured by the camera based on the image resolution.

As an optional implementation manner, the ratio may also be a quotient obtained by dividing the first resolution by the second resolution, then the denoising strength corresponding to the target denoising strength parameter is equal to the The ratio is inversely proportional.

Specifically, the ratio of the first resolution to the second resolution may also be the quotient obtained by dividing the first resolution by the second resolution, that is, the ratio ratio=(x_output*y_output)/(x_need*y_need ). Correspondingly, the target denoising strength can be determined according to denoise_strength1/ratio, wherein the denoise_strength1 is the denoising strength corresponding to the first denoising strength parameter. That is to say, when the resolution required to output the image is consistent with the resolution output by the sensor, the default denoising intensity parameter, that is, the first denoising intensity parameter, can be used for image denoising processing, and with the second resolution If the ratio is reduced and the ratio ratio is increased, the image denoising strength parameter can be readjusted, and the denoising strength of the collected image can be reduced proportionally to obtain the target denoising strength such as denoise_strength=denoise_strength1/ratio, which is the target denoising strength parameter The corresponding denoising strength is inversely proportional to the ratio.

S206: Perform denoising processing on the acquired image by using the target denoising intensity parameter, and output the acquired image after the denoising process.

In a specific embodiment, the current default denoising intensity parameter, namely the first denoising intensity parameter, is determined according to the current ambient light brightness value, and the first denoising intensity parameter is determined according to the ratio of the first resolution to the second resolution. After the parameters are adjusted to obtain the final target denoising intensity parameter, image denoising processing can be performed based on the target denoising intensity parameter, so as to obtain an image with the required resolution for the shooting application.

Further, after outputting the captured image after the denoising process, an image viewing instruction triggered by the user operating the target button can also be received; output prompt information for prompting input of information to be verified; receive information to be verified input by the prompt information; If it is verified that the information to be verified is consistent with the preset verification information, an image is output in response to the image viewing instruction. Specifically, after the terminal receives the image viewing instruction triggered by the user operating the target key, the terminal may output prompt information for prompting input of information to be verified; and the terminal may output an information input port for input of information to be verified. Wherein, the information to be verified may include but not limited to password to be verified, fingerprint information to be verified, face shape information to be verified, iris information to be verified, retina information to be verified, and voiceprint information to be verified. combination. The preset preset verification information may include but not limited to preset verification password, preset verification fingerprint information, preset verification face shape information, preset verification iris information, preset verification retina information and preset verification voiceprint information Any one and a combination of several.

In a specific embodiment, the above-mentioned preset verification information may include fingerprint string information and the input time corresponding to each fingerprint; correspondingly, verifying whether the information to be verified is consistent with the preset verification information may include the following steps:

Verify whether the fingerprint string is the same as the fingerprint string included in the preset verification information, and whether the difference between the input time of the same fingerprint is less than the preset value, if the verification fingerprint string is the same as the fingerprint string included in the preset verification information, and the same fingerprint If the difference between the input times is smaller than the preset value, it can be verified that the information to be verified is consistent with the preset verification information; otherwise, it can be verified that the information to be verified is inconsistent with the preset verification information. Wherein, by implementing this implementation manner, it is possible to prevent illegal users from arbitrarily viewing images captured by the terminal on the terminal, thereby effectively preventing the terminal from being arbitrarily operated by illegal users.

In the embodiment of the present invention, when the camera is started, the default denoising intensity parameter, namely the first denoising intensity parameter, can be determined by obtaining the current ambient light brightness value, and the first resolution output by the camera sensor and the output image The ratio of the required second resolution, based on the ratio, adjust the default denoising intensity parameters of the currently acquired image, so as to finally determine the denoising intensity parameters suitable for the currently acquired image, that is, it can be combined with the required resolution of the output image to adjust the denoising intensity used for the current image, thus avoiding the blurring of the output image due to the denoising process on the image only according to the denoising intensity determined by the current environment parameters when the required resolution of the output image is low Problems can improve the quality of the output image and improve the picture effect of the output image.

Further, please refer to FIG. 3 . FIG. 3 is a schematic flowchart of another resolution-based image denoising method provided by an embodiment of the present invention. Specifically, as shown in Figure 3, the resolution-based image denoising method may include the following steps:

S301: Acquire the current ambient light brightness value when the camera is turned on.

Specifically, the current ambient light brightness value may specifically be an ISO value of sensitivity in the current environment.

S302: Obtain a first resolution and a second resolution corresponding to the captured image of the camera, wherein the first resolution is the resolution output by the camera sensor, and the second resolution is the output of the captured image required resolution.

S303: Find a denoising intensity parameter corresponding to the current ambient light brightness value, the first resolution, and the second resolution from the stored parameter configuration list.

Wherein, the parameter configuration list includes different ambient light brightness values, mapping relationships between the first resolution and the second resolution.

S304: Determine the found out denoising intensity parameter as a target denoising intensity parameter of the acquired image.

In a specific embodiment, different ambient light brightness values, first resolution and second resolution and their corresponding denoising intensity parameters can be obtained respectively, and the ambient light brightness values, first resolution and second resolution Its corresponding denoising intensity parameters, as well as the mapping relationship between the parameters are stored in the preset parameter configuration list, that is, the parameter configuration list includes multiple sets of ambient light brightness values, first resolution and second resolution And the mapping relationship of denoising intensity parameters. After obtaining the current ambient light brightness value, the first resolution and the second resolution, the current ambient light brightness value, the first resolution and the second resolution can be used as indexes in the preset parameter configuration list Find out the denoising intensity parameters corresponding to the current ambient light brightness value, the first resolution and the second resolution, so as to perform denoising processing on the image according to the found out denoising intensity parameters.

It should be noted that in the parameter configuration list, each set of ambient light brightness values, first resolution and second resolution can correspond to a set of denoising intensity parameters, or multiple sets of ambient light brightness values, first resolution The rate and the second resolution correspond to a set of denoising intensity parameters, which are not limited in this embodiment of the present invention.

S305: Perform denoising processing on the collected image by using the target denoising intensity parameter, and output the denoising processed collected image.

In the embodiment of the present invention, when the camera is started, the current ambient light brightness value, the first resolution output by the camera sensor, and the second resolution required by the output image can be obtained, and found from the preset parameter configuration list. The denoising intensity parameter corresponding to the current ambient light brightness value, the first resolution, and the second resolution is used as the denoising intensity parameter for the currently collected image, that is, it can be determined in combination with the resolution required for the output image to determine the current The denoising strength adopted by the image avoids the problem that the output image is blurred when the resolution required for the output image is low, and the image is denoised only according to the denoising strength determined by the current environmental parameters, which can improve the output Image quality, improve the picture effect of the output image.

Please refer to FIG. 4 . FIG. 4 is a schematic structural diagram of an image denoising device provided by an embodiment of the present invention. Specifically, as shown in FIG. 4 , the image denoising device in the embodiment of the present invention may include a first acquisition module 11 , a second acquisition module 12 , a parameter determination module 13 and an image processing module 14 . in,

The first acquiring module 11 is configured to acquire the current ambient light brightness value when the camera is turned on.

It should be noted that the device in the embodiment of the present invention can be specifically set in a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a MID, a PAD, and other terminals installed with shooting applications.

The second acquisition module 12 is configured to acquire a first resolution and a second resolution corresponding to the captured image of the camera, wherein the first resolution is the resolution output by the camera sensor, and the second resolution The rate is the resolution required when outputting the captured image.

The parameter determination module 13 is configured to acquire a target denoising intensity parameter for the collected image based on the current ambient light brightness value, the first resolution, and the second resolution.

Optionally, the target denoising intensity parameter may be calculated according to the obtained current ambient light brightness value, the first resolution, and the second resolution.

Optionally, the target denoising intensity parameter can also be found from a preset parameter configuration list according to the stored ambient light brightness value, the mapping relationship between the first resolution and the second resolution and the denoising intensity parameter. of.

The image processing module 14 is configured to use the target denoising intensity parameter obtained by the parameter determination module 13 to perform denoising processing on the collected image, and output the denoising processed collected image.

In a specific embodiment, after the parameter determining module 13 obtains the target denoising intensity parameter according to the current ambient light brightness value, the first resolution and the second resolution, the image processing module 14 can perform the denoising intensity parameter based on the target denoising intensity parameter. Image denoising processing, so as to obtain the image with the resolution size required by the current shooting application.

In the implementation of the embodiment of the present invention, when the camera is turned on, the denoising intensity parameter for the currently collected image can be determined by obtaining the current ambient light brightness value, the first resolution output by the camera sensor, and the second resolution required for the output image. That is, the denoising strength used for the current image can be adjusted in combination with the resolution required for the output image, thereby avoiding denoising the image only according to the denoising strength determined by the current environmental parameters when the resolution required for the output image is low The problem of blurring of the output image caused by processing can improve the quality of the output image and improve the image effect of the output image.

Further, please refer to FIG. 5 , which is a schematic structural diagram of another image denoising device provided by an embodiment of the present invention. Specifically, as shown in FIG. 5 , the device in the embodiment of the present invention may be the first acquisition module 11 , the second acquisition module 12 , the parameter determination module 13 and the image processing module 14 of the image denoising device in FIG. 4 described above. Further, in the embodiment of the present invention, the parameter determination module 13 may specifically include:

The first determining unit 131 is configured to determine a first denoising intensity parameter for the collected image according to the current ambient light brightness value;

a calculation unit 132, configured to calculate a ratio between the first resolution and the second resolution;

The parameter adjustment unit 133 is configured to adjust the first denoising intensity parameter according to the ratio calculated by the calculating unit 132 to obtain a target denoising intensity parameter.

In a specific embodiment, when the user opens the shooting application and invokes the camera to collect images, the first acquiring module 11 can be triggered to acquire the current ambient light brightness value, and the first determining unit 131 can determine the current ambient light brightness value according to the current ambient light brightness value. The current default denoising intensity parameter of the acquired image, that is, the first denoising intensity parameter.

Optionally, the ratio may be a quotient obtained by dividing the second resolution by the first resolution, and the denoising strength corresponding to the target denoising strength parameter is proportional to the ratio.

Specifically, assuming that the resolution output by the camera sensor sensor, that is, the first resolution is x_output and y_output, and that the resolution required for capturing the output image of the application, that is, the second resolution is x_need and y_need, the ratio may be the second The quotient obtained by dividing the resolution by the first resolution, that is, the ratio ratio=(x_need*y_need)/(x_output*y_output). When the ratio is smaller, the image processor ISP of the terminal performs sampling processing on the image collected by the camera, and the noise is wiped more severely. Therefore, the denoising strength (denoise_strength) of the image processing module 14 for denoising the collected image is should be smaller. That is, the parameter adjustment unit 133 can further adjust the denoising strength parameter of the image according to the ratio ratio calculated by the calculation unit 132. For example, the parameter adjustment unit 133 can determine the target denoising strength according to denoise_strength1*ratio, wherein the denoise_strength1 is is the denoising strength corresponding to the first denoising strength parameter. That is to say, when the resolution required for outputting an image is consistent with the resolution output by the sensor, that is, when the size required for taking pictures is the same as the output size of the sensor, the parameter adjustment unit 133 can adopt the default denoising intensity parameter, that is, the first denoising The intensity parameter is used for image denoising processing, and as the required resolution decreases, the ratio ratio decreases, and the parameter adjustment unit 133 can readjust the image denoising intensity parameter, and reduce the denoising intensity of the collected image proportionally. The target denoising strength is obtained as denoise_strength=denoise_strength1*ratio, that is, the denoising strength corresponding to the target denoising strength parameter is proportional to the ratio.

Optionally, the ratio may also be a quotient obtained by dividing the first resolution by the second resolution, and the denoising strength corresponding to the target denoising strength parameter is inversely proportional to the ratio.

Specifically, the ratio of the first resolution to the second resolution may also be the quotient obtained by dividing the first resolution by the second resolution, that is, the ratio ratio=(x_output*y_output)/(x_need*y_need ). Correspondingly, the parameter adjustment unit 133 can determine the target denoising strength according to denoise_strength1/ratio, wherein the denoise_strength1 is the denoising strength corresponding to the first denoising strength parameter. That is to say, when the resolution required to output the image is consistent with the resolution output by the sensor, the parameter adjustment unit 133 can use the default denoising intensity parameter, that is, the first denoising intensity parameter to perform image denoising processing, and as The reduction of the second resolution increases the ratio ratio, and the parameter adjustment unit 133 can readjust the image denoising strength parameter, and reduce the denoising strength of the collected image in proportion to obtain the target denoising strength such as denoise_strength=denoise_strength1/ratio , that is, the denoising strength corresponding to the target denoising strength parameter is inversely proportional to the ratio.

Further optionally, in the embodiment of the present invention, the current ambient light brightness value includes an ISO value of the current ambient light sensitivity; the first determining unit 131 may be specifically configured to:

Comparing the ISO value of the current environment with the ISO value in the stored ISO interval, and judging whether the ISO value of the current environment is within the range of the ISO interval; if the ISO value of the current environment is within the ISO interval range, the denoising intensity parameter corresponding to the ISO interval is determined as the first denoising intensity parameter for the acquired image.

In a specific embodiment, the current default denoising intensity parameter, that is, the first denoising intensity parameter, is determined in the first determination unit 131 according to the current ambient light brightness value, and in the parameter adjustment unit 133, according to the first resolution and the second resolution The first denoising intensity parameter is adjusted by the ratio of the ratio, and after obtaining the final target denoising intensity parameter, the image processing module 14 can perform image denoising processing based on the target denoising intensity parameter, thereby obtaining the resolution required for the shooting application. rate-sized images.

In the embodiment of the present invention, when the camera is started, the default denoising intensity parameter, namely the first denoising intensity parameter, can be determined by obtaining the current ambient light brightness value, and the first resolution output by the camera sensor and the output image The ratio of the required second resolution, based on the ratio, adjust the default denoising intensity parameters of the currently acquired image, so as to finally determine the denoising intensity parameters suitable for the currently acquired image, that is, it can be combined with the required resolution of the output image to adjust the denoising intensity used for the current image, thus avoiding the blurring of the output image due to the denoising process on the image only according to the denoising intensity determined by the current environment parameters when the required resolution of the output image is low Problems can improve the quality of the output image and improve the picture effect of the output image.

Further, please refer to FIG. 6 , which is a schematic structural diagram of another image denoising device provided by an embodiment of the present invention. Specifically, as shown in FIG. 6 , the device in the embodiment of the present invention may be the first acquisition module 11 , the second acquisition module 12 , the parameter determination module 13 and the image processing module 14 of the image denoising device in FIG. 4 described above. Further, in the embodiment of the present invention, the parameter determination module 13 may specifically include:

A search unit 134, configured to find the denoising intensity parameters corresponding to the current ambient light brightness value, the first resolution, and the second resolution from a stored parameter configuration list, the parameter configuration list includes The mapping relationship between different ambient light brightness values, the first resolution and the second resolution;

The second determining unit 135 is configured to determine the denoising intensity parameter found by the searching unit 134 as a target denoising intensity parameter of the acquired image.

In a specific embodiment, the parameter configuration list can be pre-configured, and the parameter configuration list includes multiple sets of mapping relationships of ambient light brightness values, first resolution and second resolution, and denoising intensity parameters. After the first acquisition module 11 acquires the current ambient light brightness value, and the second acquisition module 12 acquires the first resolution and the second resolution, the search unit 134 can then obtain the current ambient light brightness value, the first resolution and the second resolution. The second resolution is used as an index, and the denoising intensity parameter corresponding to the current ambient light brightness value, the first resolution and the second resolution is found in the preset parameter configuration list, and the second determination unit 135 can set the The found denoising intensity parameter is determined as a target denoising intensity parameter for denoising the image.

It should be noted that in the parameter configuration list, each set of ambient light brightness values, first resolution and second resolution can correspond to a set of denoising intensity parameters, or multiple sets of ambient light brightness values, first resolution The rate and the second resolution correspond to a set of denoising intensity parameters, which are not limited in this embodiment of the present invention.

In a specific embodiment, after the second determination unit 135 determines to obtain the final target denoising intensity parameter, the image processing module 14 can perform image denoising processing based on the target denoising intensity parameter, so as to obtain the required resolution of the shooting application Image.

In the embodiment of the present invention, when the camera is started, the current ambient light brightness value, the first resolution output by the camera sensor, and the second resolution required by the output image can be obtained, and found from the preset parameter configuration list. The denoising intensity parameter corresponding to the current ambient light brightness value, the first resolution, and the second resolution is used as the denoising intensity parameter for the currently collected image, that is, it can be determined in combination with the resolution required for the output image to determine the current The denoising strength adopted by the image avoids the problem that the output image is blurred when the resolution required for the output image is low, and the image is denoised only according to the denoising strength determined by the current environmental parameters, which can improve the output Image quality, improve the picture effect of the output image.

Please refer to FIG. 7 . FIG. 7 is a schematic structural diagram of a terminal provided by an embodiment of the present invention, which is used to perform the above resolution-based image denoising method. As shown in FIG. 7 , the terminal may include: at least one processor 100 , at least one input device 200 , at least one output device 300 , a memory 500 and other components. Wherein, these components are communicatively connected through one or more buses 400 . Those skilled in the art can understand that the structure of the terminal shown in Figure 7 does not constitute a limitation to the embodiment of the present invention, it can be either a bus structure or a star structure, and it can also include more or more terminals than shown in the figure. Fewer parts, or combining certain parts, or different parts arrangements. in:

The processor 100 is the control center of the terminal, and uses various interfaces and lines to connect various parts of the entire terminal, by running or executing programs and/or modules stored in the memory 500, and calling data stored in the memory 500 to execute Various functions of the terminal and processing data. The processor 100 may be composed of an integrated circuit (Integrated Circuit, IC for short), for example, may be composed of a single packaged IC, or may be composed of multiple packaged ICs connected with the same function or different functions. For example, the processor 100 may only include a central processing unit (Central Processing Unit, referred to as CPU), and may also be a CPU, a digital signal processor (digital signal processor, referred to as DSP), and a graphics processing unit (Graphic Processing Unit, referred to as GPU). ) and a combination of various control chips. In the embodiments of the present invention, the CPU may be a single computing core, or may include multiple computing cores.

The input device 200 may include a standard touch screen, a keyboard, a camera, etc., and may also include a wired interface, a wireless interface, and the like.

The output device 300 may include a display screen, a speaker, etc., and may also include a wired interface, a wireless interface, and the like.

The memory 500 can be used to store software programs and modules. The processor 100, the input device 200 and the output device 300 can execute various functional applications of the terminal and implement data processing by calling the software programs and modules stored in the memory 500 . The memory 500 mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application program required by at least one function, etc.; the data storage area can store data created according to the use of the terminal, etc. In the embodiment of the present invention, the operating system may be an Android system, an iOS system, or a Windows operating system and the like.

Specifically, the processor 100 invokes the application program stored in the memory 500 to perform the following steps:

When the camera is turned on, get the current ambient light brightness value;

Obtain a first resolution and a second resolution corresponding to the captured image of the camera, wherein the first resolution is the resolution output by the camera sensor, and the second resolution is required when outputting the captured image resolution;

Acquiring a target denoising intensity parameter for the collected image based on the current ambient light brightness value, the first resolution, and the second resolution;

The acquired image is denoised using the target denoising strength parameter, and the acquired image after denoising is output through the output device 300 .

Optionally, the processor 100 invokes an application program stored in the memory 500 to execute the step of obtaining the object of the collected image based on the current ambient light brightness value, the first resolution, and the second resolution. Denoising intensity parameters, specifically perform the following steps:

Determine a first denoising intensity parameter for the collected image according to the current ambient light brightness value;

calculating a ratio of the first resolution to the second resolution;

According to the ratio, the first denoising intensity parameter is adjusted to obtain a target denoising intensity parameter.

Optionally, the ratio is a quotient obtained by dividing the second resolution by the first resolution, and the denoising strength corresponding to the target denoising strength parameter is proportional to the ratio.

Optionally, the ratio is a quotient obtained by dividing the first resolution by the second resolution, and the denoising strength corresponding to the target denoising strength parameter is inversely proportional to the ratio.

Optionally, the current ambient light brightness value includes the ISO value of the current ambient light sensitivity; the processor 100 invokes an application program stored in the memory 500 to execute the determination of the captured image according to the current ambient light brightness value. The first denoising intensity parameter of , specifically perform the following steps:

Comparing the ISO value of the current environment with the ISO value in the stored ISO interval, and judging whether the ISO value of the current environment is within the range of the ISO interval;

If the ISO value of the current environment is within the range of the ISO interval, then determining a denoising intensity parameter corresponding to the ISO interval as a first denoising intensity parameter for the collected image.

Optionally, the processor 100 invokes an application program stored in the memory 500 to execute the step of obtaining the object of the collected image based on the current ambient light brightness value, the first resolution, and the second resolution. Denoising intensity parameters, specifically perform the following steps:

Find the denoising intensity parameters corresponding to the current ambient light brightness value, the first resolution and the second resolution from the stored parameter configuration list, the parameter configuration list includes different ambient light brightness values , the mapping relationship between the first resolution and the second resolution;

Determining the found denoising strength parameter as a target denoising strength parameter of the acquired image.

In the embodiment of the present invention, when the camera is turned on, the denoising strength of the currently captured image can be determined by obtaining the current ambient light brightness value, the first resolution output by the camera sensor, and the second resolution required by the output image. parameters, that is, the denoising strength used for the current image can be adjusted in combination with the resolution required for the output image, thereby avoiding that when the resolution required for the output image is low, the image is only denoised according to the denoising strength determined by the current environmental parameters. The problem of blurring of the output image caused by the denoising process can improve the quality of the output image and improve the image effect of the output image.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented through computer programs to instruct related hardware, and the programs can be stored in a computer-readable storage medium. During execution, it may include the processes of the embodiments of the above-mentioned methods. Wherein, the storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM) or a random access memory (Random Access Memory, RAM for short).

The above disclosures are only preferred embodiments of the present invention, and certainly cannot limit the scope of rights of the present invention. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope of the present invention.

Claims (12)

1. A resolution-based image denoising method, characterized in that, comprising: When the camera is turned on, obtain the current ambient light brightness value; Obtain a first resolution and a second resolution corresponding to the captured image of the camera, wherein the first resolution is the resolution output by the camera sensor, and the second resolution is required when outputting the captured image resolution; Acquiring a target denoising intensity parameter for the collected image based on the current ambient light brightness value, the first resolution, and the second resolution; Using the target denoising intensity parameter to perform denoising processing on the collected image, and output the denoising processed collected image. 2. The method according to claim 1, wherein the target denoising of the collected image is obtained based on the current ambient light brightness value, the first resolution and the second resolution. Intensity parameters, including: Determine a first denoising intensity parameter for the collected image according to the current ambient light brightness value; calculating a ratio of the first resolution to the second resolution; According to the ratio, the first denoising intensity parameter is adjusted to obtain a target denoising intensity parameter. 3. The method according to claim 2, wherein the ratio is the quotient obtained by dividing the second resolution by the first resolution, and the denoising strength corresponding to the target denoising strength parameter proportional to the ratio. 4. The method according to claim 2, wherein the ratio is the quotient obtained by dividing the first resolution by the second resolution, and the denoising strength corresponding to the target denoising strength parameter Inversely proportional to the ratio. 5. The method according to any one of claims 2-4, characterized in that, the current ambient light brightness value comprises the sensitivity ISO value of the current environment; and according to the current ambient light brightness value, determining the Describe the first denoising intensity parameter of the collected image, including: Comparing the ISO value of the current environment with the ISO value in the stored ISO interval, and judging whether the ISO value of the current environment is within the range of the ISO interval; If the ISO value of the current environment is within the range of the ISO interval, then determining a denoising intensity parameter corresponding to the ISO interval as a first denoising intensity parameter for the collected image. 6. The method according to claim 1, wherein the target denoising of the collected image is obtained based on the current ambient light brightness value, the first resolution and the second resolution. Intensity parameters, including: Find the denoising intensity parameters corresponding to the current ambient light brightness value, the first resolution and the second resolution from the stored parameter configuration list, the parameter configuration list includes different ambient light brightness values , the mapping relationship between the first resolution and the second resolution and the denoising intensity parameter; Determining the found denoising strength parameter as a target denoising strength parameter of the acquired image. 7. An image denoising device, characterized in that, comprising: The first acquisition module is used to acquire the current ambient light brightness value when the camera is turned on; The second acquisition module is configured to acquire the first resolution and the second resolution corresponding to the captured image of the camera, wherein the first resolution is the resolution output by the camera sensor, and the second resolution is the output The resolution required when the image is collected; A parameter determination module, configured to acquire a target denoising intensity parameter for the collected image based on the current ambient light brightness value, the first resolution, and the second resolution; An image processing module, configured to use the target denoising intensity parameter acquired by the parameter determination module to perform denoising processing on the collected image, and output the denoising processed collected image. 8. The device according to claim 7, wherein the parameter determination module comprises: A first determining unit, configured to determine a first denoising intensity parameter for the collected image according to the current ambient light brightness value; a calculation unit, configured to calculate a ratio between the first resolution and the second resolution; A parameter adjustment unit, configured to adjust the first denoising intensity parameter according to the ratio calculated by the calculating unit to obtain a target denoising intensity parameter. 9. The device according to claim 8, wherein the ratio is a quotient obtained by dividing the second resolution by the first resolution, and the denoising strength corresponding to the target denoising strength parameter proportional to the ratio. 10. The device according to claim 8, wherein the ratio is a quotient obtained by dividing the first resolution by the second resolution, and the denoising strength corresponding to the target denoising strength parameter is Inversely proportional to the ratio. 11. The device according to any one of claims 8-10, wherein the current ambient light brightness value includes the ISO value of the current ambient light sensitivity; the first determining unit is specifically configured to: Comparing the ISO value of the current environment with the ISO value in the stored ISO interval, and judging whether the ISO value of the current environment is within the range of the ISO interval; if the ISO value of the current environment is within the ISO interval range, the denoising intensity parameter corresponding to the ISO interval is determined as the first denoising intensity parameter for the acquired image. 12. The device according to claim 7, wherein the parameter determination module comprises: A search unit, configured to find the denoising intensity parameters corresponding to the current ambient light brightness value, the first resolution, and the second resolution from a stored parameter configuration list, the parameter configuration list including different The mapping relationship between the ambient light brightness value, the first resolution and the second resolution and the denoising intensity parameter; The second determining unit is configured to determine the denoising intensity parameter found by the searching unit as a target denoising intensity parameter of the acquired image.