Table of Contents
ISRN Sensor Networks
Volume 2012 (2012), Article ID 760320, 19 pages
http://dx.doi.org/10.5402/2012/760320
Review Article

A Survey of Image Compression Algorithms for Visual Sensor Networks

Department of Electrical and Computer Engineering, University of Sherbrooke, Sherbrooke, QC, Canada J1K 2R1

Received 3 September 2012; Accepted 22 October 2012

Academic Editors: A. Rezgui and A. Song

Copyright © 2012 Abdelhamid Mammeri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

With the advent of visual sensor networks (VSNs), energy-aware compression algorithms have gained wide attention. That is, new strategies and mechanisms for power-efficient image compression algorithms are developed, since the application of the conventional methods is not always energy beneficial. In this paper, we provide a survey of image compression algorithms for visual sensor networks, ranging from the conventional standards such as JPEG and JPEG2000 to a new compression method, for example, compressive sensing. We provide the advantages and shortcomings of the application of these algorithms in VSN, a literature review of their application in VSN, as well as an open research issue for each compression standard/method. Moreover, factors influencing the design of compression algorithms in the context of VSN are presented. We conclude by some guidelines which concern the design of a compression method for VSN.