Wavelet based Image Compression with Band Independent Space Coding


The KIPS Transactions:PartB , Vol. 8, No. 2, pp. 208-214, Apr. 2001
10.3745/KIPSTB.2001.8.2.208,   PDF Download:

Abstract

Analysis and synthesis using wavelet transform is a widely used method in image compression. Wavelet coefficients of a decomposed natural image have high correlation not only between interband coefficients representing the same area of original image but also between adjacent coefficients in single band. Widely used wavelet based image compression techniques such as EZW (Embedded Zerotree Wavelet) and SPIHT (Set Partitioning in Hierarchical Trees) utilize the interband correlation in terms of zero tree. Zero tree based methods are not very effective for applications that require muti-resolution reconstruction because they cannot perform band by band encoding or decoding. In this paper, a new wavelet based image compression method utilizing intraband coefficient correlation is proposed. It has been shown that the performance of this method is almost the same or slightly better than that of SPIHT depending on the nature of input images. This method is also very well suited for applications that need multi-resolution reconstruction.


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Cite this article
[IEEE Style]
H. S. Park and S. J. Park, "Wavelet based Image Compression with Band Independent Space Coding," The KIPS Transactions:PartB , vol. 8, no. 2, pp. 208-214, 2001. DOI: 10.3745/KIPSTB.2001.8.2.208.

[ACM Style]
Hyo Seo Park and Sang Ju Park. 2001. Wavelet based Image Compression with Band Independent Space Coding. The KIPS Transactions:PartB , 8, 2, (2001), 208-214. DOI: 10.3745/KIPSTB.2001.8.2.208.