Video compressed sensing reconstruction based on structural group sparsity and successive approximation estimation model-Reference-Cited by-同舟云学术

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Video compressed sensing reconstruction based on structural group sparsity and successive approximation estimation model

Published:2020-01 Issue: Volume:66 Page:102734
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Chen Jian,Chen Zhifeng,Su Kaixiong,Peng Zheng,Ling Nam

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Fuzhou University Fund

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference48 articles.

1. High Efficiency Video Coding (HEVC): Algorithms and Architectures;Vivienne,2014

2. Distributed Source Coding: Theory, Algorithms and Applications;Dragotti,2009

3. Compressed sensing;Donoho;IEEE Trans. Inform. Theory,2006

4. A systematic review of compressive sensing: concepts, implementations and applications;Rani;IEEE Access,2018

5. Compressed Sensing for Distributed System;Coluccia,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AMP-BCS: AMP-based image block compressed sensing with permutation of sparsified DCT coefficients;Journal of Visual Communication and Image Representation;2024-03

2. Design and development of compressed video sensing technique using shuffled sailfish optimization algorithm;Signal, Image and Video Processing;2024-02-23

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