A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor Networks
The processing capacity and power of nodes in a Wireless Sensor Network (WSN) are limited. And most image compression algorithms in WSN are subject to random image content changes or have low image qualities after the images are decoded. Therefore, an image compression method based on multilayer Res...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2016/1851829 |
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| _version_ | 1832547940474814464 |
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| author | Chunling Cheng Shu Wang Xingguo Chen Yanying Yang |
| author_facet | Chunling Cheng Shu Wang Xingguo Chen Yanying Yang |
| author_sort | Chunling Cheng |
| collection | DOAJ |
| description | The processing capacity and power of nodes in a Wireless Sensor Network (WSN) are limited. And most image compression algorithms in WSN are subject to random image content changes or have low image qualities after the images are decoded. Therefore, an image compression method based on multilayer Restricted Boltzmann Machine (RBM) network is proposed in this paper. The alternative iteration algorithm is also applied in RBM to optimize the training process. The proposed image compression method is compared with a region of interest (ROI) compression method in simulations. Under the same compression ratio, the qualities of reconstructed images are better than that of ROI. When the number of hidden units in top RBM layer is 8, the peak signal-to-noise ratio (PSNR) of the multilayer RBM network compression method is 74.2141, and it is much higher than that of ROI which is 60.2093. The multilayer RBM based image compression method has better compression performance and can effectively reduce the energy consumption during image transmission in WSN. |
| format | Article |
| id | doaj-art-ab059b7c394a4e33acf8a7771c634eac |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2016-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-ab059b7c394a4e33acf8a7771c634eac2025-02-03T06:42:58ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-03-011210.1155/2016/18518291851829A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor NetworksChunling Cheng0Shu Wang1Xingguo Chen2Yanying Yang3 College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 213001, China College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 213001, China College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 213001, China Department of Information and Technology, Nanjing College of Forestry Police, Nanjing 210023, ChinaThe processing capacity and power of nodes in a Wireless Sensor Network (WSN) are limited. And most image compression algorithms in WSN are subject to random image content changes or have low image qualities after the images are decoded. Therefore, an image compression method based on multilayer Restricted Boltzmann Machine (RBM) network is proposed in this paper. The alternative iteration algorithm is also applied in RBM to optimize the training process. The proposed image compression method is compared with a region of interest (ROI) compression method in simulations. Under the same compression ratio, the qualities of reconstructed images are better than that of ROI. When the number of hidden units in top RBM layer is 8, the peak signal-to-noise ratio (PSNR) of the multilayer RBM network compression method is 74.2141, and it is much higher than that of ROI which is 60.2093. The multilayer RBM based image compression method has better compression performance and can effectively reduce the energy consumption during image transmission in WSN.https://doi.org/10.1155/2016/1851829 |
| spellingShingle | Chunling Cheng Shu Wang Xingguo Chen Yanying Yang A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor Networks |
| title_full | A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor Networks |
| title_fullStr | A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor Networks |
| title_full_unstemmed | A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor Networks |
| title_short | A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor Networks |
| title_sort | multilayer improved rbm network based image compression method in wireless sensor networks |
| url | https://doi.org/10.1155/2016/1851829 |
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