Multiple side information distributed video coding method based on JND, multiple side information distributed video decoding method based on JND and multiple side information video coding and decoding system based on JND

A technology of distributed video and coding method, applied in the field of decoding, JND-based multi-lateral information distributed video coding and coding, can solve the problem of not considering the visual characteristics of human eyes, etc. code length effect

Inactive Publication Date: 2018-09-28
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Previous video image coding methods considered how to improve coding efficiency and image quality from an objective point of view, and did not consider the influence of subjective standards such as human visual characteristics. Such an approach is not advisable, after all, in most cases human The eye is the ultimate receiver of video images, so we can and it is necessary to use human visual characteristics to optimize video image coding algorithms

Method used

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  • Multiple side information distributed video coding method based on JND, multiple side information distributed video decoding method based on JND and multiple side information video coding and decoding system based on JND
  • Multiple side information distributed video coding method based on JND, multiple side information distributed video decoding method based on JND and multiple side information video coding and decoding system based on JND
  • Multiple side information distributed video coding method based on JND, multiple side information distributed video decoding method based on JND and multiple side information video coding and decoding system based on JND

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Experimental program
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Embodiment 1

[0038] This embodiment discloses a JND-based multilateral information distributed video coding method, such as figure 1 Shown, including:

[0039] Obtain the video image sequence, and divide the video image sequence (frame) into two types, the first is W frame (WYNER-ZIV frame), the second is K frame (Key frame, key frame), and two key Between frames is a W frame;

[0040] For W frames, based on the distributed video coding method, LDPCA coding is adopted, the code stream is output, and the parity bit is input to the decoding end; the distributed video coding method includes successively performing DCT transformation on the two video frames, based on JND threshold filtering. For K frames, the entropy coding method is adopted, and the code stream is input to the decoding end.

[0041] Processing of W frame:

[0042] Step 1: Read the image and divide the image into two types (W frame, K frame).

[0043] Step 2: Perform DCT transformation on the W frame, so that the scattered distributi...

Embodiment 2

[0103] The purpose of this embodiment is to provide an encoding and decoding system.

[0104] A JND-based multilateral information distributed video encoding and decoding system includes: on the basis of the foregoing embodiment:

[0105] Encoder to obtain image information of video sequence. The video sequence is entered into the encoder in units of frames. Each frame is an image. The video frame sequence is divided into two types, one is W frame, the other is K frame, and there is one between two K frames. W frame. For the W frame, DCT transformation and JND-based threshold filtering are performed on it, and the LDPCA encoder is used to encode it and output the code stream. For K frames, the entropy coding method is adopted, and the code stream is input to the decoding end.

[0106] A transmission network for transmitting the video frame code stream;

[0107] The decoder receives the coded K frame, performs entropy decoding, obtains polygon information according to the K frame, a...

Embodiment 3

[0109] The purpose of this embodiment is to provide a computing device.

[0110] A computing device includes a memory, a processor, and a computer program that is stored on the memory and can run on the processor. The processor implements the encoding method or the decoding method in the first embodiment when the program is executed.

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Abstract

The invention discloses a multiple side information distributed video coding method based on JND, a multiple side information distributed video decoding method based on JND and a multiple side information video coding and decoding system based on JND, wherein the video coding method comprises the following steps: acquiring image information, dividing a video sequence into a WYNER-ZIV frame and a key frame, for the WYNER-ZIV frame, performing DCT conversion and threshold filtering treatment based on JND, performing scalar quantization and then forming a bit plane, and transmitting the bit planeto a LDPCA coder to perform coding, and for the K frame, using a entropy coding method; and the decoding method comprises the following steps: performing decoding for the key frame, generating multiple side information according to the key frame, and performing DCT conversion and threshold filtering treatment based on JND for the multiple side information, uniting a WYNER-ZIV frame code stream output by the coder and the obtained side information, and performing reconstruction for the WYNER-ZIV frame according to correlation between the WYNER-ZIV frame code stream and the side information. According to the invention, by the multiple side information method, a more accurate reconstructed frame can be obtained, and system performance can be improved.

Description

Technical field [0001] The present invention relates to the technical field of video coding and decoding, in particular to a method and system for multilateral information distributed video coding and decoding based on JND. Background technique [0002] In recent years, with the rapid development of computer technology, network technology, and wireless technology, many multimedia application devices with new characteristics have emerged in large numbers, such as mobile camera phones, wireless video sensor monitoring networks, and portable cameras. They are in storage capacity and computing power. And power resources are very restricted. Video coding for these application scenarios has characteristics that are different from traditional video compression coding. The coding equipment is simple and energy is limited, while decoding equipment generally has no energy limitation and has strong computing capabilities. Traditional video coding technology has high coding complexity and l...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/117H04N19/12H04N19/13H04N19/137H04N19/30
CPCH04N19/117H04N19/12H04N19/13H04N19/137H04N19/395
Inventor 孟丽丽程洁张佳谭艳艳王春静任玉伟张化祥
Owner SHANDONG NORMAL UNIV
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