Self-adaptive time-space domain video image denoising method

Abstract

The invention relates to a self-adaptive time-space domain video image denoising method, which comprises the following steps of: 1, performing spatial filtering on an image of a current frame to remove noise; 2, working out the weighted average of a pixel subjected to the spatial filtering and the corresponding pixel of the previous frame to perform time-domain filtering; and 3, updating a filtering parameter. The filtering parameter is initialized at an initial moment, and a first macro block is subjected to filtering by utilizing the filtering parameter; each macro block comprises a luminance component, a blue chroma component and a red chroma component, and each component is subjected to the filtering; the filtering is divided into two steps, namely spatial filtering and time-domain filtering; and after the current macro block is subjected to the filtering, the filtering parameter is needed to be updated to perform the filtering of the next macro block, wherein the updating processis divided into three steps: namely, a first step of calculating a difference value of a single pixel by utilizing a fixed coefficient; a second step of calculating the variance of the macro blocks by utilizing the variance of the single pixel; and a third step of calculating the filtering parameter of the next macro block by utilizing the variance.

Description

technical field

[0001] The invention belongs to the field of digital video processing, in particular to an adaptive time-space domain video image noise reduction method. Background technique

[0002] Taking advantage of computer and network technology, digital images and videos have become more and more common in people's daily life. Denoising can remove noise from digital images and videos and enhance their compressibility. Noise is often present in uncompressed images and video as unwanted or unwanted elements or artifacts. Noise can come from many sources, for example, shot noise, thermal noise, channel noise, etc. that occur in electronic hardware. The presence of noise not only reduces the visual quality of video, but also reduces the effect of video encoding and reduces the compressibility of media files. It increases the entropy of the video, so that more bits are required to encode images and videos, and it also reduces the accuracy of motion estimation to further ...

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