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Title |
Evaluation of Image Compression Methods for used in Wireless Multimedia Sensor Networks |
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Author |
H.Benlabbes, Kh.Benahmed, M.Beladgham and B.Draoui |
| Citation |
Vol. 26 No. 1 pp. 63-70 |
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Abstract |
In Wireless Multimedia Sensor Networks (WMSN) the large size of multimedia data such as image requires finding optimal solutions. To solve the problems of energy consumption and bandwidth during processing and transmission, there are solutions that address these problems, such as image compression. Currently, the most effective methods are based on the wavelet transform, which allows spatially decorrelating the image i.e., it is necessary to develop progressive coders interested in the content of the image before compression. Several researchers in this axis show that SPHIT is the best choice for low energy compression algorithms because of its ability to provide higher compression ratio with low complexity and better image quality, but what is the best transform used by SPHIT? Knowing that there are several wavelet transforms. This work deals with four compression methods applied to color images. The proposed method is based on the lifting scheme coupled with the SPIHT coding and wavelets biorthogonal Cohen-Daubechies-Feauveau wavelet (CDF 9/7). This method is compared with three methods: lifting scheme coupled with the SPIHT coding and wavelets biorthogonal Gall 5/3, CDF 9/7 (Filter Bank) coupled with the SPIHT and CDF 9/7 (Lifting scheme) coupled with the Embedded Zerotrees of Wavelet transforms (EZW) coding based on the following evaluations factors: image quality (Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), Structural Similarity Index (MSSIM) and Fidelity Information Visual (FIV)) and energy consumption (Compression Ratio (CR)). |
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Keywords |
Compression, Wireless Multimedia Sensor Networks, energy consumption, SPIHT, lifting, DWT |
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