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Post-processing optimization method based on deep network video coding and decoding

A video encoding and decoding, deep network technology, applied in the field of post-processing optimization based on deep network video encoding and decoding, can solve the problems of deep layers, complex STDF network and QE network, unable to meet real-time applications, etc., to reduce algorithm complexity, The effect of shortening the convolution calculation time and improving the utilization rate

Pending Publication Date: 2021-06-29
CENT SOUTH UNIV
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Problems solved by technology

However, the current STDF network and QE network are relatively complex and deep, and cannot meet the needs of real-time applications, so they cannot be promoted in the industry

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  • Post-processing optimization method based on deep network video coding and decoding
  • Post-processing optimization method based on deep network video coding and decoding
  • Post-processing optimization method based on deep network video coding and decoding

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[0039] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] It should be noted that although the functional modules are divided in the system schematic diagram and the logical order is shown in the flow chart, in some cases, it can be executed in a different order than the module division in the system or the flow chart steps shown or described. The terms "first", "second" and the like in the specification and claims and the above drawings are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence.

[0041] HEVC is a new video compression standard used to replace the H.264 / AVC coding standard. On Ja...

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Abstract

The invention discloses a post-processing optimization method based on deep network video coding and decoding. The method comprises the steps: reading a decoded image, and carrying out the offset prediction of the decoded image in a space-time variable fusion module, and the offset prediction comprises the steps: carrying out the two times of down-sampling and the two times of up-sampling of the decoded image, so as to obtain a first offset; obtaining a movement vector of the reference frame; calculating a second offset according to the movement vector and the first offset; and calculating the second offset by using variable convolution to obtain a feature map, processing the feature map by using an image quality improvement module to obtain a residual map, and adding the residual map to the decoded image to obtain the decoded image with enhanced image quality. The method can greatly simplify the model structure, shortens the neural network convolution calculation time, reduces the algorithm complexity, improves the utilization rate of decoding information in a code stream, and meets the real-time demands of applications under the condition of better image post-processing enhancement quality.

Description

technical field [0001] The invention relates to the technical field of video coding and decoding, in particular to a post-processing optimization method based on deep network video coding and decoding. Background technique [0002] HEVC is a new video compression standard used to replace the H.264 / AVC coding standard. On January 26, 2013, the International Telecommunication Union Telecommunication Standardization Sector (ITU-T) officially approved HEVC as a new generation of international video codec standard. . Its goal is to achieve the goal of twice the compression efficiency of H.264 on the basis of ensuring video quality by integrating the latest technology and algorithm, so as to meet people's needs for high-definition and ultra-high-definition video. With the advancement of science and technology, the interdisciplinary research of various disciplines has received extensive attention. With the rapid development of deep learning, post-processing of video codecs based o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/172H04N19/513H04N19/70H04N19/42G06N3/04G06N3/08
CPCH04N19/172H04N19/513H04N19/70H04N19/42G06N3/08G06N3/045
Inventor 张昊姜俊宏杨明田苏昊天张本政孙意翔赖欣刘祺远
Owner CENT SOUTH UNIV