A VVC loop filtering method and system based on multi-layer GAN

A technology of loop filtering and filtering processing, applied in neural learning methods, image enhancement, image analysis, etc., can solve problems such as large computational complexity and memory bandwidth requirements, reduce confrontation loss and reconstruction loss, improve quality, and be efficient The effect of video encoding

Active Publication Date: 2021-09-24
SHANDONG UNIV +3
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Problems solved by technology

However, as far as the inventors understand, both techniques require greater computational complexity and memory bandwidth requirements for the implementation of encoders and decoders, so a better method is needed to reduce the data movement caused by loop filtering overhead

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  • A VVC loop filtering method and system based on multi-layer GAN
  • A VVC loop filtering method and system based on multi-layer GAN
  • A VVC loop filtering method and system based on multi-layer GAN

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0035] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0036] It should be noted that the terminology used here is only for describing specific embodiments, and is not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0037] In...

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Abstract

The present invention provides a VVC loop filtering method and system based on multi-layer GAN, and constructs a filtering model. The filtering model includes a multi-layer GAN model, and each GAN model is responsible for capturing image distribution at different scales; importing other methods of filtering The final video stream file and the key frame group of the original video file are used as training data, as the input of each layer of GAN model, and the pixel difference between them is used to train the filtering model; the trained filtering model is embedded in the VVC loop, and the video The sequence is divided into several small image groups, and an embedded filtering model is used to filter the divided video sequence; the invention reduces the overhead caused by loop filtering and improves the compression efficiency.

Description

technical field [0001] The invention belongs to the technical field of video / image processing, and in particular relates to a multi-layer GAN-based VVC loop filtering method and system. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] With the rapid development of streaming media technology and multimedia technology, video communication has brought people a better visual experience, but it has also brought challenges to the transmission and storage of massive video data. Faced with challenges, video coding standards are also constantly evolving. As people have higher and higher requirements for video compression, High Efficiency Video Coding (HEVC) cannot meet some video compression applications. Versatile Video Coding (VVC) is a new generation of international video compression coding technology standard after HEVC, mainly for high-defin...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/82H04N19/70H04N19/177G06T5/00G06N3/04G06N3/08
CPCH04N19/82H04N19/70H04N19/177G06T5/002G06N3/08G06T2207/10016G06T2207/20081G06T2207/20084G06N3/045
Inventor 申兆岩刘继刚张辉马亮郎铁山
Owner SHANDONG UNIV
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