Image processing method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses an image processing method and device, electronic equipment and a medium, and the method comprises the steps: carrying out the neighborhood search of a targetpixel point in an image, obtaining a pixel block, determining the noise variance distribution information of the pixel block, and determining the difference between a plurality of adjacent pixel points and the target pixel point through the noise variance distribution information; judging whether each adjacent pixel point in the plurality of adjacent pixel points is similar to the target pixel point or not according to the noise variance distribution information to obtain a plurality of reference pixel points similar to the target pixel point; assigning a weight to each reference pixel pointin the plurality of reference pixel points to obtain a plurality of weights; determining a target pixel value of the target pixel point according to the plurality of weights, the plurality of reference pixel values corresponding to the plurality of reference pixel points and the current pixel value of the target pixel point. Refined image restoration can be realized for the image according to theplurality of reference pixel points, image details are ensured while the noise of the image is reduced, and the overall quality of the image is further improved.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image processing method, device, electronic equipment and storage medium. Background technique [0002] In the field of image processing technology, signal superposition processing technology is usually used to restore the original signal of the image. Specifically, the reference signals of adjacent pixels in the image are superimposed to eliminate the noise signal in the image. However, in the actual processing process, the actual image signal itself has Random fluctuations lead to differences between the current signal of the image and the reference signal (even if the actual image signal corresponding to the current signal is equal to the reference signal), thus affecting the accuracy of restoring the actual image signal corresponding to different contents in the image. Contents of the invention [0003] Embodiments of the present invention provide an image process...

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Problems solved by technology

[0002] In the field of image processing technology, signal superposition processing technology is usually used to restore the original signal of the image. Specifically, the reference signals of adjacent pixels in the image are superimposed to eliminate the noise signal in the image. However, in the actual processing process, the actual image signal itself has Random fluctuations lead to differences between the current signal of the image and the reference signal (even if the actual image signal corresponding to the current signal is equal to the reference signal), thus affecting the accuracy of restoring the actual image signal corresponding to different content in the image

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