Image Reconstruction Algorithm Based on Tree Sparsity Model for Visual Sensor Network

A tree sparsity mode1 based image compressed sensing(CS)algorithm was proposed to efficiently explore the correlation in visua1 sensor networks(VSN)data. Based on the analysis of wavelet sparsity,a tree sparsity mode1 for VSN image was established and a new CS recovery algorithm for this mode1 was p...

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Main Authors: Min Hu, Xuwei Huang, Dan Long, Cailiang Shen
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2013-02-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.02.011/
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author Min Hu
Xuwei Huang
Dan Long
Cailiang Shen
author_facet Min Hu
Xuwei Huang
Dan Long
Cailiang Shen
author_sort Min Hu
collection DOAJ
description A tree sparsity mode1 based image compressed sensing(CS)algorithm was proposed to efficiently explore the correlation in visua1 sensor networks(VSN)data. Based on the analysis of wavelet sparsity,a tree sparsity mode1 for VSN image was established and a new CS recovery algorithm for this mode1 was proposed. Analysis and experimenta1 results demonstrate that the proposed algorithm can significantly reduce the measurement for the accurate recovery,and subsequently 1ower energy consumption of data traffic in VSN.
format Article
id doaj-art-f1bee0201d3a4798bf0300076886b524
institution Kabale University
issn 1000-0801
language zho
publishDate 2013-02-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-f1bee0201d3a4798bf0300076886b5242025-01-15T03:23:53ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012013-02-0129646959790501Image Reconstruction Algorithm Based on Tree Sparsity Model for Visual Sensor NetworkMin HuXuwei HuangDan LongCailiang ShenA tree sparsity mode1 based image compressed sensing(CS)algorithm was proposed to efficiently explore the correlation in visua1 sensor networks(VSN)data. Based on the analysis of wavelet sparsity,a tree sparsity mode1 for VSN image was established and a new CS recovery algorithm for this mode1 was proposed. Analysis and experimenta1 results demonstrate that the proposed algorithm can significantly reduce the measurement for the accurate recovery,and subsequently 1ower energy consumption of data traffic in VSN.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.02.011/visua1 sensor networkcompressed sensingtree sparsitydata reconstruction
spellingShingle Min Hu
Xuwei Huang
Dan Long
Cailiang Shen
Image Reconstruction Algorithm Based on Tree Sparsity Model for Visual Sensor Network
Dianxin kexue
visua1 sensor network
compressed sensing
tree sparsity
data reconstruction
title Image Reconstruction Algorithm Based on Tree Sparsity Model for Visual Sensor Network
title_full Image Reconstruction Algorithm Based on Tree Sparsity Model for Visual Sensor Network
title_fullStr Image Reconstruction Algorithm Based on Tree Sparsity Model for Visual Sensor Network
title_full_unstemmed Image Reconstruction Algorithm Based on Tree Sparsity Model for Visual Sensor Network
title_short Image Reconstruction Algorithm Based on Tree Sparsity Model for Visual Sensor Network
title_sort image reconstruction algorithm based on tree sparsity model for visual sensor network
topic visua1 sensor network
compressed sensing
tree sparsity
data reconstruction
url http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2013.02.011/
work_keys_str_mv AT minhu imagereconstructionalgorithmbasedontreesparsitymodelforvisualsensornetwork
AT xuweihuang imagereconstructionalgorithmbasedontreesparsitymodelforvisualsensornetwork
AT danlong imagereconstructionalgorithmbasedontreesparsitymodelforvisualsensornetwork
AT cailiangshen imagereconstructionalgorithmbasedontreesparsitymodelforvisualsensornetwork