Authors: P.L. Chithra; P. Thangavel
Addresses: Department of Computer Science, University of Madras, Chennai 600 005, India ' Department of Computer Science, University of Madras, Chennai 600 005, India
Abstract: We propose a new efficient embedded wavelet image compression based on Multidirectional Traversal Algorithm (MDTA). MDTA keeps track of significant pixels of the LL sub band of wavelet coefficients in multiple directions namely horizontal, vertical, left diagonal and right diagonal direction in the scan order of left to right and top to bottom. MDTA combines multidirectional approach for LL band of wavelet coefficients and quad tree partitioning to locate scattered significant clusters in other sub bands. Experimental results show that MDTA performs very well with all other codecs such as SPIHT, EZW and morpho codecs like MRWD, ECZQR and EWCBL.
Keywords: image compression; MDTA; multidirectional traversal algorithm; quad tree partitioning; wavelet coefficients; signals; imaging systems engineering; image processing.
International Journal of Signal and Imaging Systems Engineering, 2012 Vol.5 No.3, pp.196 - 203
Available online: 17 Oct 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article