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Video coding method based on perception noise channel model

A video coding and noise channel technology, applied in digital video signal modification, image communication, electrical components, etc., can solve problems such as ignorance and insufficient exploration of perceptual redundancy

Active Publication Date: 2020-12-04
CHONGQING UNIV OF TECH
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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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  • Video coding method based on perception noise channel model

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Embodiment Construction

[0068] The present invention will be further explained in detail with reference to the accompanying drawings.

[0069] such as Figure 1 As shown, a video perceptual coding method based on a perceptual noise channel model includes:

[0070] S1, establishing a perceptual noise channel model considering visual jitter noise and just perceptible distortion noise;

[0071] S2, dynamically estimating the quantization step length of visual jitter, and calculating visual jitter noise and JND noise;

[0072] S3, calculating the perceived noise weight factor;

[0073] S4, optimizing the rate-distortion cost function according to the perceived noise weight factor;

[0074] S5, coding tree unit coding based on the optimized rate-distortion cost function.

[0075] The invention first designs a perceptual noise channel model, then designs a perceptual control factor based on the perceptual noise channel model to control the rate-distortion optimization process of coding, and improves the compres...

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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...

Claims

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Application Information

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IPC IPC(8): H04N19/147H04N19/154H04N19/176H04N19/23
CPCH04N19/147H04N19/176H04N19/154H04N19/23
Inventor 彭宗举崔鑫彭醇陵陈芬
Owner CHONGQING UNIV OF TECH
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