CN107481199B - Image defogging method and device, storage medium and mobile terminal - Google Patents

Abstract

The invention relates to an image defogging processing method and device, a storage medium and a mobile terminal. The method comprises the following steps: acquiring an image to be processed; acquiring a dark channel value corresponding to each pixel in the image to be processed, and counting the number of the dark channel values in a preset range; and if the number exceeds a threshold value, carrying out defogging treatment on the image to be treated according to a preset defogging mode. According to the image defogging method and device, the storage medium and the mobile terminal, before the image to be processed is defogged, whether the preset condition is met or not is judged according to the dark channel value, and the image to be processed meeting the preset condition is defogged, so that the defogging process is avoided for all the images. The efficiency of image processing is improved, the power consumption of the image processing device is reduced.

Description

Image dehazing processing method, device, storage medium and mobile terminal

technical field

The present invention relates to the field of computer technology, and in particular, to an image defogging processing method, device, storage medium and mobile terminal.

Background technique

Taking pictures is an essential work and entertainment project in people's lives, but the scenes of taking pictures are often complex and changeable. For example, indoor environments tend to be dimly lit, and outdoor environments tend to be brighter. However, the weather in the outdoor environment is even more unpredictable. For different weather such as sunny, rainy, snowy, foggy, etc., the needs and processing methods when taking pictures are different.

When capturing images in outdoor environments with low visibility, the captured images tend to be unclear. For photos with insufficient sharpness, it is usually necessary to improve the sharpness of the image by means of physical or software processing. Dehazing is a commonly used method to improve image clarity, that is, to remove noise that causes unclear images in images through software processing. However, dehazing usually needs to be done for every pixel of the image.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide an image defogging processing method, device, storage medium and mobile terminal, which can improve the efficiency of image processing.

An image dehazing processing method, the method comprises:

Get the image to be processed;

Obtain the dark channel value corresponding to each pixel in the image to be processed, and count the number of dark channel values within a preset range;

If the number exceeds the threshold, defogging is performed on the image to be processed according to a preset defogging method.

An image dehazing processing device, the device comprising:

Image acquisition module, used to acquire the image to be processed;

A quantity acquisition module, used to acquire the dark channel value corresponding to each pixel in the to-be-processed image, and count the number of dark channel values within a preset range;

A defogging processing module, configured to perform defogging processing on the to-be-processed image according to a preset defogging method if the number exceeds a threshold.

A storage medium on which a computer program is stored, and when the program is executed by a processor, the following steps are implemented:

Get the image to be processed;

Obtain the dark channel value corresponding to each pixel in the image to be processed, and count the number of dark channel values within a preset range;

If the number exceeds the threshold, defogging is performed on the image to be processed according to a preset defogging method.

A mobile terminal, comprising a memory, a processor and a computer program stored on the memory and running on the processor, the processor implements the following steps when executing the program:

Get the image to be processed;

Obtain the dark channel value corresponding to each pixel in the image to be processed, and count the number of dark channel values within a preset range;

If the number exceeds the threshold, defogging is performed on the image to be processed according to a preset defogging method.

The image defogging processing method, device, storage medium, and mobile terminal provided by the embodiments of the present invention first obtain the dark channel value corresponding to each pixel in the image to be processed, and count the number of dark channel values within a preset range. If the number exceeds the threshold, the image to be processed is dehazed. Before the image to be processed is dehazed, it is judged whether the preset condition is satisfied according to the dark channel value, and only the image to be processed that satisfies the preset condition is dehazed, so as to avoid dehazing of all images. The efficiency of image processing is improved, and the power consumption of the image processing device is reduced.

Description of drawings

1 is a schematic diagram of the internal structure of an electronic device in one embodiment;

2 is a schematic diagram of the internal structure of a server in one embodiment;

3 is a flowchart of an image dehazing processing method in one embodiment;

4 is a flowchart of an image dehazing processing method in another embodiment;

5 is a schematic structural diagram of an image defogging device in one embodiment;

6 is a schematic structural diagram of an image defogging device in another embodiment;

FIG. 7 is a schematic diagram of an image processing circuit in one embodiment.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

FIG. 1 is a schematic diagram of the internal structure of an electronic device in one embodiment. As shown in FIG. 1 , the electronic device includes a processor, a non-volatile storage medium, an internal memory and a network interface, a display screen and an input device connected through a system bus. The non-volatile storage medium of the electronic device stores an operating system and computer-readable instructions. The computer-readable instructions, when executed by a processor, implement an image dehazing processing method. The processor is used to provide computing and control capabilities that support the operation of the entire electronic device. Internal memory in an electronic device provides an environment for the execution of computer-readable instructions in a non-volatile storage medium. The network interface is used for network communication with the server, such as sending an image dehazing processing request to the server, and receiving the dehazing processed image returned by the server. The display screen of the electronic equipment can be a liquid crystal display screen or an electronic ink display screen, etc., and the input device can be a touch layer covered on the display screen, or a button, a trackball or a touchpad set on the shell of the electronic equipment, or a An external keyboard, trackpad, or mouse, etc. The electronic device may be a mobile phone, a tablet computer, a personal digital assistant or a wearable device, and the like. Those skilled in the art can understand that the structure shown in FIG. 1 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the electronic device to which the solution of the present application is applied. The specific electronic device may be Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

FIG. 2 is a schematic diagram of an internal structure of a server in an embodiment. As shown in FIG. 2, the server includes a processor, a non-volatile storage medium, an internal memory and a network interface connected through a system bus. Wherein, the non-volatile storage medium of the server stores an operating system and computer-readable instructions. The computer-readable instructions, when executed by a processor, implement an image dehazing processing method. The server's processor is used to provide computing and control capabilities to support the operation of the entire server. The network interface of the server is used to communicate with an external terminal through a network connection, such as receiving an image dehazing processing request sent by the terminal and returning the dehazing processed image to the terminal. The server can be implemented as an independent server or a server cluster composed of multiple servers. Those skilled in the art can understand that the structure shown in FIG. 2 is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the server to which the solution of the present application is applied. More or fewer components are shown in the figures, either in combination or with different arrangements of components.

FIG. 3 is a flowchart of an image dehazing processing method in one embodiment. As shown in FIG. 3, the image dehazing processing method includes steps 302 to 306, wherein:

Step 302, acquiring the image to be processed.

In the embodiments provided by the present invention, the image to be processed refers to an image that needs to be dehazed, and can be collected by an image collection device. The image acquisition device refers to a device for acquiring images, for example, the image acquisition device may be a camera, a camera of a mobile terminal, a video camera, or other devices.

It can be understood that, in this embodiment of the present invention, the image to be processed may be acquired directly through an image acquisition device, or may be acquired from a preset storage space, where the preset storage space refers to a preset storage space. The storage space for storing images to be processed. That is to say, before the image defogging process is performed, a photographing instruction can be directly initiated to collect the to-be-processed image that needs to be defogged through the image acquisition device, or it can be obtained directly from the preset storage space that needs defogging. The processed image to be processed.

Step 304: Obtain a dark channel value corresponding to each pixel in the image to be processed, and count the number of dark channel values within a preset range.

It can be understood that the image to be processed is composed of several pixels, and each pixel has a corresponding RGB three-channel value, which is used to represent information such as the color and brightness of the pixels in the image. Among them, the RGB three-channel value respectively represents the size of the red, green, blue and other three color components of each pixel in the image to be processed, and the dark channel value refers to the smallest channel among the three RGB channel values of the image to be processed. value. It is generally believed that the smaller the dark channel value, the smaller the influence of the fog density on the corresponding pixel.

In one embodiment, the preset range refers to a preset value range of the dark channel value. Specifically, the preset range may be a value range of a relatively small dark channel value, and through the preset range, a dark channel value with a relatively small value can be filtered out, and thus pixels that are less affected by the fog density can be filtered out .

Step 306 , if the number exceeds the threshold, perform a defogging process on the image to be processed according to a preset defogging method.

In the embodiments provided by the present invention, in heavy fog, rain, snow or haze weather, shooting outdoors is often affected, so that the captured image is particularly unclear and objects in the image cannot be seen clearly. Defogging refers to a process that removes noises such as fog and sand that make the image unclear, and restores the image. The preset defogging method refers to a preset defogging method for the image to be processed.

For example, if the default dehazing method is the dark primary color prior dehazing algorithm, it is assumed that the image to be processed can be expressed as the following formula:

I(x)=J(x)t(x)+A(1-t(x))

Among them, I(x) is the image to be processed, J(x) is the image obtained after the image to be processed is dehazed, t(x) is the transmittance, and A is the atmospheric light value. Generally, assuming that A is a known value, there is a channel with a very low channel value in the three RGB channels in the image to be processed, and the channel value is close to zero, then you can get:

The transmittance can be obtained from the above formula as:

A weight ω between 0 and 1 can be introduced to adjust the transmittance, and the final transmittance expression is as follows:

In order to ensure the dehazing effect, a transmittance threshold t ₀ can be set for the transmittance, then the image after dehazing can be obtained by the following expression:

Specifically, if the number exceeds the threshold, the image to be processed is dehazed according to a preset dehazing method. The threshold value refers to a preset value used to determine whether the number of dark channel values within a preset range satisfies a condition. In this embodiment of the present invention, if the number of dark channel values within a preset range exceeds the threshold, it is considered that the image to be processed is greatly affected by the fog density, and a dehazing process needs to be performed, so that the image to be processed is restored to Fog free image.

In other embodiments provided by the present invention, the dehazing area in the image to be processed can also be extracted according to the dark channel value, and then the dehazing area in the image to be processed is dehazed according to a preset dehazing method. The defogging area refers to the area in the image to be processed that needs to be defogged. Generally speaking, the image to be processed will contain areas with different fog density, some areas have high fog density, and some areas have low fog density. Therefore, the to-be-processed image can be divided into different regions according to the degree of haze density before dehazing.

The dehazing area can be divided according to the dark channel value corresponding to each pixel in the image to be processed, and the area corresponding to the dark channel value within the preset range is divided into the dehazing area, and the dark channel value outside the preset range is divided into the dehazing area. The corresponding areas are divided into non-dehaze areas. Then, the defogging process is performed on the defogging area, and the non-defogging area is not subjected to the defogging process.

Further, the dark channel value can be divided into different value levels, the dehazing area can be divided into a plurality of dehazing level areas according to the value level of the dark channel value, and then the dehazing level can be compared according to the dehazing method corresponding to the dehazing level area. Fog level areas are processed. That is to say, the dark channel values within the preset range are divided into levels, and the dark channel values of different levels correspond to different dehazing level areas, and then the dehazing level areas are dehazed by different levels of dehazing methods. deal with.

The above image dehazing processing method first obtains the dark channel value corresponding to each pixel in the image to be processed, and counts the number of dark channel values within a preset range. If the number exceeds a threshold, the image to be processed is dehazed. Before the image to be processed is dehazed, it is judged whether the preset condition is satisfied according to the dark channel value, and only the image to be processed that satisfies the preset condition is dehazed, so as to avoid dehazing of all images. The efficiency of image processing is improved, and the power consumption of the image processing device is reduced.

FIG. 4 is a flowchart of a method for image dehazing processing in another embodiment. As shown in FIG. 4 , the image dehazing processing method includes steps 402 to 408, wherein:

Step 402, acquiring an image to be processed.

In one embodiment, the acquired image to be processed may be pre-stored in a preset storage space, or may be directly acquired by an image acquisition device. For example, when the image to be processed is acquired through the camera of the mobile terminal, the user inputs a photographing instruction through the mobile terminal, and after detecting the photographing instruction, the mobile terminal collects the image to be processed through the camera. The photographing instruction may be triggered by a physical button of the mobile terminal or a touch screen operation, or may be a voice instruction or the like.

Step 404: Obtain a dark channel value corresponding to each pixel in the image to be processed, and count the number of dark channel values within a preset range.

In the embodiment provided by the present invention, each pixel in the image to be processed has RGB three-channel values, and the RGB three-channel values respectively represent the size of the red, green, and blue color components of the image pixel to be processed, and each The value range of the channel value is between 0 and 255. The larger the value, the larger the component of the corresponding color channel. In general, for each pixel of the image to be processed, there will be a minimum channel value in the RGB three-channel value, and the minimum channel value is the dark channel value corresponding to the pixel.

In general, when the light is bright and not affected by the fog concentration, the dark channel value is a very small value. We can think that the smaller the dark channel value, the less the pixel is affected by the fog concentration; on the contrary, the dark channel value The larger the value, the more the pixel is affected by the fog density.

In one embodiment, the RGB three-channel value of each pixel in the image to be processed may be traversed, and the dark channel value corresponding to each pixel may be acquired, thereby obtaining a dark channel map of the entire image to be processed. Then traverse the dark channel map, filter out dark channel values within the preset range, and count the number of dark channel values within the preset range. Generally, the smaller the number of dark channel values within the preset range, the less the image to be processed is considered to be affected by the fog density.

Step 406, if the number exceeds the threshold, obtain the fog density parameter corresponding to the image to be processed, and perform dehazing processing on the image to be processed according to the fog density parameter.

In one embodiment, the haze density parameter of each pixel in the image to be processed is acquired according to a preset model, and each pixel in the image to be processed is dehazed according to the fog density parameter. After each pixel in the image to be processed is dehazed, a dehazed image to be processed can be obtained.

Further, obtain the fog density parameter of each of the three RGB channels in the image to be processed; according to the fog density parameter of each channel of the three RGB channels, dehaze the three RGB channels in the image to be processed respectively .

In one embodiment, the fog density parameter may include, but is not limited to, atmospheric light value and transmittance; performing dehazing processing on the image to be processed according to a preset dehazing method may include: acquiring the atmospheric light value and three RGB channels of the image to be processed The transmittance factor of each channel in the fog treatment.

Specifically, fog pollution has different effects on the three RGB channels. When the dehazing algorithm is used to dehaze the image as a whole, the fog on the G channel and B channel in the image cannot be completely removed. Further, the fog of the same concentration has different effects on the three RGB channels, wherein the transmittance of the R channel is the highest, the transmittance of the B channel is the lowest, and the transmittance of the G channel is between the two; and when the fog concentration increases, the RGB The difference between the three channels also increases. In this embodiment, the transmittance factors ω _R , ω _G , and ω _B are preset for the three RGB channels, wherein:

ω _R = 1

ω _G =(0.9+0.1*t(x)) ²

ω _B =(0.7+0.3*t(x)) ²

According to the preset transmittance factor, the transmittance t _R , t _G , and t _B of each channel of the three RGB channels are obtained.

t _R =ω _R *t(x)=t(x)

t _G =ω _G *t(x)=t(x)*(0.9+0.1*t(x)) ²

t _B =ω _B *t(x)=t(x)*(0.7+0.3*t(x)) ²

Among them, t(x) is the transmittance of the image to be processed, assuming that the atmospheric light value A of the image to be processed is a known value, according to the formula:

By replacing t(x) in the above formula with t _R , t _G , and t _B in turn, the three RGB channels in the image to be processed can be dehazed in sequence.

In other embodiments provided by the present invention, the scene type of the image to be processed may be acquired; the image to be processed is dehazed according to a dehazing method corresponding to the scene type. The scene type refers to the type of scene in the image to be processed, for example, the scene type may be a building, sky, beach, tree, or the like. Specifically, the attribute parameter of the image to be processed can be extracted, and the scene type of the image to be processed can be determined according to the attribute parameter.

For example, acquiring the scene type of the image to be processed may be one or more of the following methods: extracting texture information of the image to be processed, and determining the scene type of the image to be processed according to the texture information; extracting the color of the image to be processed information, and determine the scene type of the image to be processed according to the color information; an interface for inputting scene types is displayed on the user terminal, and the user inputs the scene type through the user terminal.

In the embodiments provided by the present invention, the defogging processing methods corresponding to the scene types refer to different defogging processing methods adopted according to different scene types. Different dehazing methods may refer to dehazing processing according to different dehazing algorithms, or may refer to different degrees of dehazing processing using the same dehazing algorithm.

For example, when the scene type of the image to be processed is a building, the color is usually dim and the fog density is relatively small, and the image to be processed can be processed with a lesser degree of dehazing; the scene type of the image to be processed is the sky When the color is relatively bright and the fog density is relatively deep, the image to be processed can be processed with a deeper degree of dehazing.

In one embodiment, the image to be processed may be further divided, the divided regions in the to-be-processed image may be obtained, the region type of each divided region may be obtained, and the divided regions may be processed according to the dehazing processing method corresponding to the region type. For example, the image to be processed is divided into a sky area, a tree area, a land area, etc., and then the three areas are dehazed separately.

The above image dehazing processing method first obtains the dark channel value corresponding to each pixel in the image to be processed, and counts the number of dark channel values within a preset range. If the number exceeds a threshold, the image to be processed is dehazed. Before the image to be processed is dehazed, it is judged whether the preset condition is satisfied according to the dark channel value, and only the image to be processed that satisfies the preset condition is dehazed, so as to avoid dehazing of all images. The efficiency of image processing is improved, and the power consumption of the image processing device is reduced.

FIG. 5 is a schematic structural diagram of an image defogging device in one embodiment. As shown in FIG. 5 , the image dehazing processing apparatus 500 includes an image acquiring module 502 , a quantity acquiring module 504 and a dehazing processing module 506 . in:

The image acquisition module 502 is used to acquire the image to be processed.

The quantity acquisition module 504 is configured to acquire the dark channel value corresponding to each pixel in the to-be-processed image, and count the number of dark channel values within a preset range.

A defogging processing module 506, configured to perform defogging processing on the to-be-processed image according to a preset defogging method if the number exceeds a threshold.

The above image dehazing processing device first obtains the dark channel value corresponding to each pixel in the image to be processed, and counts the number of dark channel values within a preset range, and if the number exceeds a threshold, the image to be processed is dehazed. Before the image to be processed is dehazed, it is judged whether the preset condition is satisfied according to the dark channel value, and only the image to be processed that satisfies the preset condition is dehazed, so as to avoid dehazing of all images. The efficiency of image processing is improved, and the power consumption of the image processing device is reduced.

FIG. 6 is a schematic structural diagram of an image defogging device in another embodiment. As shown in FIG. 6 , the image dehazing processing apparatus 600 includes an image acquiring module 602 , a quantity acquiring module 604 , a type acquiring module 606 and a dehazing processing module 608 . in:

The image acquisition module 602 is used for acquiring the image to be processed.

The quantity acquisition module 604 is configured to acquire the dark channel value corresponding to each pixel in the to-be-processed image, and count the number of dark channel values within a preset range.

A type acquisition module 606, configured to acquire the scene type of the image to be processed.

A defogging processing module 608, configured to perform defogging processing on the to-be-processed image according to a preset defogging method if the number exceeds a threshold.

The above image defogging processing device obtains the dark channel value corresponding to each pixel in the image to be processed, and counts the number of dark channel values within a preset range, and if the number exceeds a threshold, the image to be processed is dehazed. Before the image to be processed is dehazed, it is judged whether the preset condition is satisfied according to the dark channel value, and only the image to be processed that satisfies the preset condition is dehazed, so as to avoid dehazing of all images. The efficiency of image processing is improved, and the power consumption of the image processing device is reduced.

In one embodiment, the dehazing processing module 608 is further configured to acquire a haze density parameter corresponding to the image to be processed, and perform dehazing processing on the image to be processed according to the haze density parameter.

In one embodiment, the dehazing processing module 608 is further configured to obtain the haze density parameter of each of the three RGB channels in the image to be processed; according to the haze density parameter of each of the three RGB channels, Dehazing is performed on the three RGB channels in the to-be-processed image respectively.

In one embodiment, the dehazing processing module 608 is further configured to extract the dehazing area in the to-be-processed image according to the dark channel value; Dehaze treatment.

The division of each module in the above image defogging processing apparatus is only used for illustration. In other embodiments, the image defogging processing apparatus may be divided into different modules as required, so as to complete all or part of the above image defogging processing apparatus Function.

The embodiment of the present invention also provides a storage medium. A storage medium on which a computer program is stored, and when the program is executed by a processor, the following steps are implemented:

Get the image to be processed;

Obtain the dark channel value corresponding to each pixel in the image to be processed, and count the number of dark channel values within a preset range;

If the number exceeds the threshold, defogging is performed on the image to be processed according to a preset defogging method.

In the embodiment provided by the present invention, the dehazing process performed by the processor on the to-be-processed image according to the preset dehazing method includes:

Obtain the fog density parameter corresponding to the image to be processed, and perform dehazing processing on the image to be processed according to the fog density parameter.

In one embodiment, the acquiring a haze density parameter corresponding to the image to be processed, and performing dehazing processing on the image to be processed according to the haze density parameter performed by the processor includes:

Obtain the fog density parameter of each channel in the three RGB channels in the image to be processed;

According to the fog density parameter of each of the three RGB channels, the three RGB channels in the to-be-processed image are dehazed respectively.

In this embodiment, the dehazing process performed by the processor on the to-be-processed image according to the preset dehazing method includes:

extracting the dehazing area in the to-be-processed image according to the dark channel value;

Dehazing is performed on the dehazing area in the image to be processed according to a preset dehazing method.

In one of the embodiments, the defogging process performed by the processor on the to-be-processed image according to a preset defogging method includes:

obtaining the scene type of the image to be processed;

Dehazing is performed on the image to be processed according to a dehazing manner corresponding to the scene type.

The embodiment of the present invention also provides a computer device. The above computer equipment includes an image processing circuit, and the image processing circuit may be implemented by hardware and/or software components, and may include various processing units that define an ISP (Image Signal Processing, image signal processing) pipeline. FIG. 7 is a schematic diagram of an image processing circuit in one embodiment. As shown in FIG. 7 , for the convenience of description, only various aspects of the image processing technology related to the embodiments of the present invention are shown.

As shown in FIG. 7 , the image processing circuit includes an ISP processor 740 and a control logic 750 . Image data captured by imaging device 710 is first processed by ISP processor 740 , which analyzes the image data to capture image statistics that can be used to determine and/or control one or more parameters of imaging device 710 . Imaging device 710 may include a camera having one or more lenses 712 and an image sensor 714 . Image sensor 714 may include an array of color filters (eg, Bayer filters), image sensor 714 may obtain light intensity and wavelength information captured with each imaging pixel of image sensor 714 and provide a set of raw materials that may be processed by ISP processor 740. image data. The sensor 720 may provide raw image data to the ISP processor 740 based on the sensor 720 interface type. The sensor 720 interface may utilize a SMIA (Standard Mobile Imaging Architecture) interface, other serial or parallel camera interfaces, or a combination of the above interfaces.

ISP processor 740 processes raw image data pixel by pixel in various formats. For example, each image pixel may have a bit depth of 8, 10, 12, or 14 bits, and the ISP processor 740 may perform one or more image processing operations on the raw image data, collecting statistical information about the image data. Among them, the image processing operations can be performed with the same or different bit depth precision.

ISP processor 740 may also receive pixel data from image memory 730 . For example, the raw pixel data is sent from the sensor 720 interface to the image memory 730, and the raw pixel data in the image memory 730 is provided to the ISP processor 740 for processing. The image memory 730 may be a part of a memory device, a storage device, or an independent dedicated memory in an electronic device, and may include a DMA (Direct Memory Access, direct memory access) feature.

When receiving raw image data from the sensor 720 interface or from the image memory 730, the ISP processor 740 may perform one or more image processing operations, such as temporal filtering. The processed image data may be sent to image memory 730 for additional processing before being displayed. The ISP processor 740 may also receive processed data from the image memory 730, and perform image data processing in the original domain and in the RGB and YCbCr color spaces on the processed data. The processed image data may be output to the display 780 for viewing by a user and/or further processed by a graphics engine or a GPU (Graphics Processing Unit, graphics processor). In addition, the output of the ISP processor 740 may also be sent to the image memory 730 , and the display 780 may read image data from the image memory 730 . In one embodiment, image memory 730 may be configured to implement one or more frame buffers. Additionally, the output of ISP processor 740 may be sent to encoder/decoder 770 for encoding/decoding image data. The encoded image data can be saved and decompressed prior to display on the display 780 device.

The ISP-processed image data may be sent to a defogging module 760 for defogging the image before being displayed. Dehazing the image data by the defogging module 760 may include obtaining a dark channel value corresponding to each pixel in the image to be processed, and counting the number of dark channel values within a preset range; The dehazing method performs dehazing processing on the image to be processed, etc. The defogging module 760 may be a CPU (Central Processing Unit, central processing unit) or a GPU (Graphics Processing Unit, graphics processing unit) or the like in the mobile terminal. After defogging the image data, the defogging module 760 may send the defogged image data to the encoder/decoder 770 for encoding/decoding the image data. The encoded image data can be saved and decompressed before being displayed on the display 780 device. It can be understood that the image data processed by the defogging module 760 may be directly sent to the display 780 for display without going through the encoder/decoder 770 . The image data processed by the ISP processor 740 may also be processed by the encoder/decoder 770 first, and then processed by the defogging module 760 .

Statistics determined by the ISP processor 740 may be sent to the control logic 750 unit. For example, the statistics may include image sensor 714 statistics such as auto exposure, auto white balance, auto focus, flicker detection, black level compensation, lens 712 shading correction, and the like. Control logic 750 may include a processor and/or microcontroller executing one or more routines (eg, firmware) that may determine control parameters of imaging device 710 and ISP processing based on received statistics control parameters of the controller 740. For example, control parameters may include sensor 720 control parameters (eg, gain, integration time for exposure control), camera flash control parameters, lens 712 control parameters (eg, focal length for focus or zoom), or a combination of these parameters. ISP control parameters may include gain levels and color correction matrices for automatic white balance and color adjustment (eg, during RGB processing), and lens 712 shading correction parameters.

The following are the steps of implementing the image dehazing processing method using the image processing technology in Figure 7:

Get the image to be processed;

Obtain the dark channel value corresponding to each pixel in the image to be processed, and count the number of dark channel values within a preset range;

If the number exceeds the threshold, defogging is performed on the image to be processed according to a preset defogging method.

In the embodiment provided by the present invention, performing the defogging process on the to-be-processed image according to the preset defogging method includes:

Obtain the fog density parameter corresponding to the image to be processed, and perform dehazing processing on the image to be processed according to the fog density parameter.

In one embodiment, the acquiring a fog density parameter corresponding to the image to be processed, and performing dehazing processing on the image to be processed according to the fog density parameter includes:

Obtain the fog density parameter of each channel in the three RGB channels in the image to be processed;

According to the fog density parameter of each of the three RGB channels, the three RGB channels in the to-be-processed image are dehazed respectively.

In this embodiment, performing the defogging process on the to-be-processed image according to a preset defogging method includes:

extracting the dehazing area in the to-be-processed image according to the dark channel value;

Dehazing is performed on the dehazing area in the image to be processed according to a preset dehazing method.

In one embodiment, performing dehazing processing on the to-be-processed image according to a preset dehazing method includes:

obtaining the scene type of the image to be processed;

Dehazing is performed on the image to be processed according to a dehazing manner corresponding to the scene type.

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 by instructing relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium , when the program is executed, it may include the flow of the above-mentioned method embodiments. The storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), or the like.

The above-mentioned embodiments only represent several embodiments of the present invention, and the descriptions thereof are specific and detailed, but should not be construed as limiting the scope of the patent of the present invention. It should be pointed out that for those skilled in the art, without departing from the concept of the present invention, several modifications and improvements can be made, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be subject to the appended claims.

Claims (10)

1. An image defogging processing method, characterized by comprising:

acquiring an image to be processed;

acquiring a dark channel value corresponding to each pixel in the image to be processed, and counting the number of the dark channel values within a preset range, wherein the dark channel value is the minimum channel value of the three channel values of red, green and blue (RGB) of the image to be processed;

if the number exceeds a threshold value, extracting a defogging area in the image to be processed according to the dark channel value;

carrying out defogging treatment on the defogging area in the image to be treated according to a preset defogging mode;

the defogging treatment of the defogging area in the image to be treated according to the preset defogging mode comprises the following steps: dividing the defogging area into a plurality of defogging grade areas according to the value grade of the dark channel value; and processing the defogging grade area according to the defogging mode corresponding to the defogging grade area.

2. The image defogging method according to claim 1, wherein the defogging of the defogging region in the image to be processed according to the preset defogging mode comprises:

and acquiring a fog concentration parameter corresponding to a defogging area in an image to be processed, and defogging the defogging area according to the fog concentration parameter.

3. The image defogging method according to claim 2, wherein the acquiring of the fog concentration parameter corresponding to the defogging region in the image to be processed and the defogging of the defogging region according to the fog concentration parameter comprises:

obtaining a fog concentration parameter of each channel in RGB three channels in the defogging region;

and according to the fog concentration parameter of each channel in the RGB three channels, carrying out defogging treatment on the RGB three channels in the defogging area respectively.

4. The image defogging processing method according to claim 1, wherein the defogging concentration parameters include an atmospheric light value and a transmittance.

5. The image defogging method according to claim 1, wherein the defogging of the image to be processed according to the preset defogging mode comprises:

acquiring the scene type of the image to be processed;

and carrying out defogging treatment on the image to be treated according to the defogging mode corresponding to the scene type.

6. An image defogging processing device, characterized in that the device comprises:

the image acquisition module is used for acquiring an image to be processed;

the quantity acquisition module is used for acquiring a dark channel value corresponding to each pixel in the image to be processed and counting the quantity of the dark channel values within a preset range;

the defogging processing module is used for extracting a defogging area in the image to be processed according to the dark channel value if the number exceeds a threshold value; dividing the defogging area into a plurality of defogging grade areas according to the value grade of the dark channel value; and processing the defogging grade area according to the defogging mode corresponding to the defogging grade area.

7. The image defogging processing device according to claim 6, wherein the defogging processing module is further configured to obtain a fog concentration parameter corresponding to a defogging region in the image to be processed, and perform defogging processing on the defogging region according to the fog concentration parameter.

8. The image defogging processing device according to claim 6, wherein said device further comprises:

the type acquisition module is used for acquiring the scene type of the image to be processed;

and the defogging processing module is also used for defogging the image to be processed according to the defogging mode corresponding to the scene type.

9. A storage medium on which a computer program is stored, characterized in that the program, when executed by a processor, implements the image defogging processing method according to any one of claims 1 to 5.

10. A mobile terminal comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the image defogging method according to any one of claims 1 to 5 when the program is executed.

Images