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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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2013-02-01
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Series: | Dianxin kexue |
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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 |