59 Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 4 DOI: 10.4018/978-1-61350-153-5.ch004 Mammeri Abdelhamid University of Sherbrooke, Canada Brahim Hadjou University of Sherbrooke, Canada Ahmed Khoumsi University of Sherbrooke, Canada Djemel Ziou University of Sherbrooke, Canada Wavelet Filters Evaluation in Power Constrained Visual Sensor Networks ABSTRACT While designing a wavelet-based coder (WBC) in the context of Visual Sensor Network (VSN), engineers and designers must respect their strict constraint on power consumption. This makes the selection of the appropriate wavelet, among many existing competitors, not an easy task. A set of wavelet flters are evaluated and the best of them are selected. The comparison is performed in terms of the quality of the reconstructed image at the base station and the power consumption of a visual sensor (VS) processing the wavelet. Image quality is measured objectively using PSNR and SSIM, and subjectively using the mean opinion score of many viewers. For power consumption, we have developed a power model based on the number of times basic operations are performed by the flters. Moreover, we show and discuss some factors, such as decomposition level and flter length, infuencing the power dissipation of a given VS while executing a given wavelet under evaluation. Our results provide a good reference for designers of WBC for power-constrained applications such as VSN.