An Image Compression Algorithm Based on Sparse Sampling for Wireless Multimedia Sensor Networks
Wireless multimedia sensor networks introduce multimedia information such as images, audio, and video on the basis of traditional wireless sensor networks, which can achieve more fine-grained monitoring applications. But they also face various constraints and challenges such as network energy consum...
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Format: | Article |
Language: | English |
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Editorial Office of Journal of Taiyuan University of Technology
2021-01-01
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Series: | Taiyuan Ligong Daxue xuebao |
Subjects: | |
Online Access: | https://tyutjournal.tyut.edu.cn/englishpaper/show-175.html |
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author | Jian GUO Chong HAN Jinhong SHI Haotian XUE Lijuan SUN |
author_facet | Jian GUO Chong HAN Jinhong SHI Haotian XUE Lijuan SUN |
author_sort | Jian GUO |
collection | DOAJ |
description | Wireless multimedia sensor networks introduce multimedia information such as images, audio, and video on the basis of traditional wireless sensor networks, which can achieve more fine-grained monitoring applications. But they also face various constraints and challenges such as network energy consumption, node performance, and storage space size. According to the features of wireless multimedia sensor networks, an compressed sensing image compression was proposed with sampling and adaptive transmitting in the Fourier domain by multi-node cooperation. And it can achieve productive recovery effect. The simulation results show that the proposed algorithm can effectively reduce the reconstruction error and improve the quality of reconstructed image, and is more suitable for the application requirements of WMSNs network with low energy consumption. |
first_indexed | 2024-04-24T11:55:32Z |
format | Article |
id | doaj.art-7d721566c9b542498580f2949bc24d9e |
institution | Directory Open Access Journal |
issn | 1007-9432 |
language | English |
last_indexed | 2024-04-24T11:55:32Z |
publishDate | 2021-01-01 |
publisher | Editorial Office of Journal of Taiyuan University of Technology |
record_format | Article |
series | Taiyuan Ligong Daxue xuebao |
spelling | doaj.art-7d721566c9b542498580f2949bc24d9e2024-04-09T05:16:43ZengEditorial Office of Journal of Taiyuan University of TechnologyTaiyuan Ligong Daxue xuebao1007-94322021-01-01521768210.16355/j.cnki.issn1007-9432tyut.2021.01.0101007-9432(2021)01-0076-07An Image Compression Algorithm Based on Sparse Sampling for Wireless Multimedia Sensor NetworksJian GUO0Chong HAN1Jinhong SHI2Haotian XUE3Lijuan SUN4College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaCollege of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaCollege of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaCollege of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaCollege of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaWireless multimedia sensor networks introduce multimedia information such as images, audio, and video on the basis of traditional wireless sensor networks, which can achieve more fine-grained monitoring applications. But they also face various constraints and challenges such as network energy consumption, node performance, and storage space size. According to the features of wireless multimedia sensor networks, an compressed sensing image compression was proposed with sampling and adaptive transmitting in the Fourier domain by multi-node cooperation. And it can achieve productive recovery effect. The simulation results show that the proposed algorithm can effectively reduce the reconstruction error and improve the quality of reconstructed image, and is more suitable for the application requirements of WMSNs network with low energy consumption.https://tyutjournal.tyut.edu.cn/englishpaper/show-175.htmlwireless multimedia sensor networksblock compressive sensingfourier transformsparse samplingadaptive sensing |
spellingShingle | Jian GUO Chong HAN Jinhong SHI Haotian XUE Lijuan SUN An Image Compression Algorithm Based on Sparse Sampling for Wireless Multimedia Sensor Networks Taiyuan Ligong Daxue xuebao wireless multimedia sensor networks block compressive sensing fourier transform sparse sampling adaptive sensing |
title | An Image Compression Algorithm Based on Sparse Sampling for Wireless Multimedia Sensor Networks |
title_full | An Image Compression Algorithm Based on Sparse Sampling for Wireless Multimedia Sensor Networks |
title_fullStr | An Image Compression Algorithm Based on Sparse Sampling for Wireless Multimedia Sensor Networks |
title_full_unstemmed | An Image Compression Algorithm Based on Sparse Sampling for Wireless Multimedia Sensor Networks |
title_short | An Image Compression Algorithm Based on Sparse Sampling for Wireless Multimedia Sensor Networks |
title_sort | image compression algorithm based on sparse sampling for wireless multimedia sensor networks |
topic | wireless multimedia sensor networks block compressive sensing fourier transform sparse sampling adaptive sensing |
url | https://tyutjournal.tyut.edu.cn/englishpaper/show-175.html |
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