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Proceedings Paper

Novel embedded image compression technique using second generation bandelets and zerotree coding
Author(s): Kun Li; Shuang Wang; Licheng Jiao; Yang Zhao
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Paper Abstract

As a new multiscale geometric analysis tool, second generation bandelets can make full use of intrinsic geometric regularity and provide an optimal representation of the underlying high-dimensional functions adaptively. In this paper, a novel embedded image compression technique is presented, which is based on second generation bandelets and zerotree coding. The method is embedded progressive which can control the actual compression ratio and allow "best" reconstructions during decompression. Objectively, we use peak signal-to-noise ratio and edge preservation properties to measure Image quality. Numerical tests applied on natural images show that compared with other two algorithms, our method provides improvements both in peak signal-to-noise ratio and edge preservation properties. Subjectively, our method avoids visible ringing effects having better image visual fidelity.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67904K (14 November 2007); doi: 10.1117/12.774795
Show Author Affiliations
Kun Li, Xidian Univ. (China)
Shuang Wang, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)
Yang Zhao, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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