Analysis of Image Compression Algorithms in WSN: A Review

Abstract

In the recent years, with the technological advancement in wireless communications and integrated digital circuits has lead to the exponential development of wireless sensor networks (WSNs) that has become dramatically feasible. WSN is a wireless network composed of large number spatially distributed small nodes with sensing, computation, and wireless communication capabilities. The various resource limitations of the sensor nodes that should be considered while transmitting or receiving the real time images over WSNs are memory, computing power, narrow bandwidth and Energy. In image based applications large volume of data needs to be transmitted which results in large energy consumption at the nodes forwarding data towards the sink node. Hence Image compression is the answer for transmission of image over WSNs. In this paper a review on six popular image compression algorithms such as DCT, DWT, JPEG,EZW,SPIHT, EBCOT is presented and it is found that SPIHT wavelet based image compression is more efficient due to high compression ratio and simple coding procedure.