Video coding method based on perception noise channel model

Abstract

The invention discloses a video coding method based on a perceptual noise channel model, which comprises the following steps: S1, establishing a perceptual noise channel model considering visual jitter noise and just noticeable distortion (JND) noise; S2, dynamically estimating the quantification step length of visual jitter, calculating visual jitter noise, and calculating JND noise; S3, calculating a perception noise weight factor; S4, optimizing a rate-distortion cost function according to the perception noise weight factor; and S5, encoding a code tree unit (CTU) based on the optimized rate distortion cost function. Compared with the prior art, the method introduces the human eye visual perception characteristic, and can effectively save the video coding rate and improve the video compression performance on the basis of ensuring the good subjective quality of the coded video.

Description

Technical field [0001] The invention relates to the field of multi-view video bit allocation, in particular to a video coding method based on perceptual noise channel mode. technical background [0002] Compared with high definition (HD) video, Ultra-high definition (UHD) video has a wider field of view and finer video images, providing viewers with immersive visual experience. In addition, with the gradual popularization and use of 5G communication, UHD video will become the mainstream multimedia broadcast format in the future, with a wider application prospect, such as education, entertainment, sports and other fields. Unfortunately, in the practical application process, UHD video needs to occupy a large amount of bandwidth for transmission and consume more storage space of hardware and software, which limits the popularization and application of UHD video. Like HD video, UHD video has extensive visual redundancy besides spatial and temporal redundancy. Therefore, Perceptual Vi...

AI Technical Summary

Problems solved by technology

However, the above traditional PVC schemes still have the following deficiencies: (1) The JND models used in the current traditional PVC schemes are all based on 8-bit bit depth video images, and there is no JND model and related JND models for 10-bit bit depth UHD video images. PVC scheme

However, traditional PVC schemes only consider the former and ignore the latter

To sum up, traditional PVC has not fully explored perceptual redundancy to further improve video coding and compression efficiency under the premise of ensuring the subjective quality of video.

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