Image processing method and device, electronic equipment and storage medium

Abstract

The invention relates to an image processing method and device, electronic equipment and a computer readable storage medium, and the image processing method comprises the steps: dividing a reference image and a non-reference image into more than one image block, carrying out the frequency domain transformation of each reference image block in the reference image, and obtaining each reference frequency domain image block, performing frequency domain transformation processing on non-reference image blocks matched with the reference image blocks in the non-reference image to obtain non-reference frequency domain image blocks; determining a correction parameter corresponding to each reference frequency domain pixel point according to the frequency band corresponding to each reference frequency domain pixel point in each reference frequency domain image block, and adjusting a fusion weight between each reference frequency domain pixel point and a corresponding non-reference frequency domain pixel point by using each correction parameter; and performing fusion processing according to the adjusted fusion weight to obtain a de-noised image commonly corresponding to each to-be-processed image. The method can improve the image denoising effect.

Description

technical field [0001] The present application relates to image processing technology, in particular to an image processing method, device, electronic equipment and computer-readable storage medium. Background technique [0002] With the development of electronic equipment technology, people have higher and higher requirements for image clarity. Image denoising technology has become a key research direction in the field of computer vision. There have been many kinds of technologies such as spatial domain fusion denoising, transform domain fusion denoising, etc. Image denoising technology. [0003] However, the traditional image denoising technology has the problem of uneven denoising effect. For example, when there is a moving object in the shooting scene, the noise intensity of the moving area in the captured image will suddenly jump, and the traditional image denoising technology cannot eliminate most of the noise in the moving area, resulting in the difference between th...

AI Technical Summary

Problems solved by technology

[0003] However, the traditional image denoising technology has the problem of uneven denoising effect

For example, when there is a moving object in the shooting scene, the noise intensity of the moving area in the captured image will suddenly jump, and the traditional image denoising technology cannot eliminate most of the noise in the moving area, resulting in the difference between the moving area and the still area. There are obvious differences in noise, and the denoising effect is poor

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