Title :
Comparison of algorithms for image compression
Author :
Pooja, B. ; Kulkami, Pragati ; Sneha, J. ; Madhuri, K.L. ; Indumathr, G.
Author_Institution :
CMRIT, Bangalore, India
Abstract :
The EZW and SPIHT coding are remarkably effective image compression algorithms having the property that the bits in the compressed bit stream are generated in the order of importance yielding a fully embedded code, hi this project the coding techniques for EZW (Embedded zero wavelet coding) and SPHIT (Set partitioning in hierarchical trees) have been developed. The performance analysis of both the algorithms in terms of compression ratio and peak signal to noise ratio (PSNR) for different level of Wavelet decomposition has been implemented with the comparison of results for the images This project provides an easy and efficient method for qualitative and quantitative comparison of different algorithms that can be used for image compression.
Keywords :
data compression; image coding; wavelet transforms; EZW coding; PSNR; SPHIT; SPIHT coding; compressed bit stream; embedded zero wavelet coding; image compression algorithms; peak signal to noise ratio; set partitioning in hierarchical trees; wavelet decomposition; DWT; EZW; PSNR; SPIHT;
Conference_Titel :
Advances in Recent Technologies in Communication and Computing (ARTCom 2011), 3rd International Conference on
Conference_Location :
Bangalore
DOI :
10.1049/ic.2011.0094