A Survey of Image Compression Algorithms for Visual Sensor Networks. (28th November 2012)

• Record Type: Journal Article
• Authors: Mammeri, Abdelhamid; Hadjou, Brahim; Khoumsi, Ahmed
• Other Names: Rezgui A. Academic Editor.; Song A. Academic Editor.
• Is Part Of: ISRN sensor networks. Volume 2012(2012)
• Publication Date: 2012-11-28
• Subjects: Sensor networks -- Periodicals; Wireless sensor networks -- Periodicals; Sensor networks; Wireless sensor networks; Periodicals; 006.25
• DOI: 10.5402/2012/760320
• Languages: English
• ISSNs: 2090-7745

Abstract

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.