Video image noise reduction method and device and computer readable storage medium

Abstract

The invention discloses a video image noise reduction method. The method comprises the steps of obtaining a target video, and performing image block matching on frame images of the target video; extracting image blocks and pixel points of the corresponding matched image blocks at the same position, and calculating the Euclidean distance between the pixel points; when the Euclidean distance is larger than a preset threshold value, obtaining the structure tensor of the image blocks where the pixel points are located, and calculating the structure weight of the image blocks; by performing self-adaption weighted filtering on the image blocks and the corresponding matched image blocks through the structure weight, adopting the pixel points in the image blocks and the corresponding matched imageblocks for performing noise reduction. The invention further discloses a video image noise reduction device and a computer readable storage medium. By adding the self-adaption weighted filtering noise reduction operation, the images can accurately estimate actual image signals during noise reduction, and the advantage of improving the video image conversion efficiency is achieved.

Description

technical field [0001] The present invention relates to the field of image noise reduction, in particular to a video image noise reduction method, device and computer-readable storage medium. Background technique [0002] As digital video technology is widely used in people's daily life, the demand for video image noise reduction technology is becoming more and more urgent. Noise in video images generally refers to unwanted or unwanted elements or artifacts present in video images. There are many sources of noise, for example, shot noise generated by hardware, video shooting environment noise, channel noise, etc. The presence of noise not only reduces the visual quality of video, but also reduces the compressibility of media files. The purpose of video denoising is to estimate the real image signal as accurately as possible, enhancing its visual effect and compressibility. [0003] Among the currently existing video image noise reduction methods, some are directly extende...

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a video image noise reduction method, which aims to solve the technical problem that the real signal image cannot be accurately estimated during video noise reduction, resulting in low noise reduction efficiency

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