Ain Shams Engineering Journal

Ain Shams Engineering Journal

Volume 9, Issue 4, December 2018, Pages 2961-2972
Ain Shams Engineering Journal

Energy efficient image coding techniques for low power sensor nodes: A review

https://doi.org/10.1016/j.asej.2017.10.004Get rights and content
Under a Creative Commons license
open access

Abstract

Visual Sensors Networks (VSN) are spatially dispersed distributed networks, consisting of small sensing units and image sensors. They are scattered over a region to sense, collect and transfer data and are involved in domains such as environmental monitoring, surveillance and tracking. The resource restrictions imposed on sensor nodes are the challenges for image transmission. Sensor nodes are battery power supplied. The greatest operative solution is image compression for energy efficient image communication. With the advent of VSNs, energy-aware compression algorithms have gained wide attention. Since the application of the conventional standards are not energy beneficial. New strategies and mechanisms for power-efficient image compression algorithms are developed. The scope of this review is to provide a holistic review of such energy efficient image compression algorithms for camera equipped VSN. This survey enumerates the benefits and limitations of conventional image compression standards to latest compression technique developed and adapted for VSN.

Keywords

Image compression techniques
DCT
DWT
Wireless sensor networks
VSN
Entropy coding

Cited by (0)

G. Suseela is a Ph.D Research scholar at School of Computing Science and Engineering, VITUniversity, Chennai, Tamilnadu, India. She holds B.E., and M.Tech degrees in Computer Science and Engineering. Prior to her full time research she was working as Assistant Professor at SRM University,Chennai, Tamilnadu, India. Her areas of research include Wireless Image Sensor Network, Image Processing and network security.

Y. Asnath Victy Phamila holds M.E and Ph.D degree in Computer Science and Engineering from Anna University, India. Her research area includes Image Processing, Wireless Sensor Networks and Network Security. She has around 11 years of academic and 4 years of industry experience. She has around 20 research papers to her credit. She also serves as reviewer in reputed journals.

Peer review under responsibility of Ain Shams University.