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Efficient Wavelet based Image Compression Technique for Wireless Communication

Author(s): Ms.P. Santha devi | Dr. Arthanariee A.M | Mr.M.Sivakumar

Journal: International Journal of Innovative Technology and Creative Engineering
ISSN 2045-869X

Volume: 1;
Issue: 3;
Start page: 53;
Date: 2011;
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Keywords: Wireless communication | Image compression | Image quality

With phenomenal growth in wireless multimedia image communication, the issues need to handle are resource consumption and the quality of the image being transmitted in wireless channels. The resource consumptions indicated in most literatures are bandwidth and energy consumption. The strict constrains of wireless sensor networks (WSN) on individual sensor node’s resource brings great challenges to the information processing, especially in image capture sensor network. A Simple Wavelet Compression (SWC) processing of image coding is proposed to maximize compression and minimize energy cost in WSN. Most of the current work, utilize lossy image compression techniques to minimize the resource consumption. The lossy image compression technique reduces the size of the image to a great extent, however the quality of the image being reproduced needs appreciation. The proposed work presented, an improved polyomines lossless compression technique and efficient wavelet compression, both increases the quality of image at receiving end of the wireless communication by reducing the Peak to Signal Noise ratio and mean square error. Experimental simulation are carried out using JPEG images for evaluating the performance of the improved polyomines lossless compression compared to that of lossy image compression, which shows nearly 20% improvement in quality of image being reproduced on transmitted decompression. The simulation results showed that these approaches achieved significant energy savings without sacrificing the quality of the image reconstruction. Results show up to 80% reduction in the energy consumption achieved by our efficient wavelet compared to a nonenergy-aware one, with the guarantee for the image quality to be lower-bounded.
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