Image processing method, storage medium, and electronic apparatus

1. A method for image processing, comprising:

traversing luminance components of respective pixel points in an image, and generating a luminance distribution of the image according to a traversing result of the luminance components;

generating a luminance mapping relation based on a standard luminance distribution corresponding to a scene of the image and the luminance distribution of the image;

adjusting the luminance components of the respective pixel points in the image according to the luminance mapping relation to generate a first processed image; and

after generating the first processed image:

performing edge recognition of the first processed image;

determining a filtering kernel that performs a filtering processing of the image according to an edge recognition result;

performing a filtering processing of the first processed image based on the filtering kernel to obtain a low-frequency image corresponding to the first processed image and a high-frequency image corresponding to the first processed image; and

determining a first gain coefficient of the high-frequency image, performing an enhancement processing of the high-frequency image according to the first gain coefficient, and performing an image fusion of the low-frequency image and an enhanced high-frequency image to obtain a second processed image.

2. The method according to claim 1 , further comprising:

determining a second gain coefficient of the low-frequency image, and performing an enhancement processing of the low-frequency image according to the second gain coefficient;

wherein performing image fusion of the low-frequency image and the enhanced high-frequency image to obtain the second processed image comprises:

performing image fusion of an enhanced low-frequency image and the enhanced high-frequency image to obtain a second processed image.

3. The method according to claim 2 , wherein determining the first gain coefficient of the high-frequency image and determining the second gain coefficient of the low-frequency image comprises:

determining the first gain coefficient of the high-frequency image according to gain values of all the pixel points in the high-frequency image, and determining the second gain coefficient of the low-frequency image according to gain values of all the pixel points in the low-frequency image;

wherein a gain value of each of the pixel point is determined by:

calculating, based on a window of a preset size, a local variance of a window region with a pixel point as a center for the high-frequency image and the low-frequency image respectively; and

determining the gain value of the pixel point according to a local standard deviation corresponding to the local variance of the window region.

4. The method according to claim 3 , wherein performing the enhancement processing of the low-frequency image according to the second gain coefficient comprises:

identifying a flat region and a non-flat region in the low-frequency image according to luminance information of each pixel point in the low-frequency image;

splitting the low-frequency image according to the flat region and the non-flat region; and

performing image enhancement of the split non-flat region according to the second gain coefficient;

wherein performing image fusion of the enhanced low-frequency image and the enhanced high-frequency image to obtain the second processed image comprises:

performing image fusion of the flat region, the enhanced non-flat region, and the enhanced high-frequency image to obtain a second processed image.

5. The method according to claim 4 , wherein the image in YUV color mode is generated by:

converting, an original signal acquired by an image sensor into an image in RGB color mode; and

generating an image in YUV color mode according to the image in RGB color mode.