Abstract
Wireless Sensor Networks (WSNs) are known to be greatly energy-constrained, especially for vision-based applications. Image compression can provide energy efficiency by reducing the data flow to be transmitted at the cost of more computation. The compression scheme must be designed with respect to the tradeoff between computational complexity and compression ratio. The aim of this paper is to present and evaluate software and hardware implementations of low-complexity encoder designed to respect the resource constraints of WSNs. The proposed image compression scheme will be considered as a co-processor enabling low power computation and communication over WSNs. This paper presents a performance evaluation of the proposed technique for both software and hardware implementations, with relevant comparisons to some related works.
Published Version
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