14 November 2007 Novel embedded image compression technique using second generation bandelets and zerotree coding
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Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67904K (2007) https://doi.org/10.1117/12.774795
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
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.
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Kun Li, Kun Li, Shuang Wang, Shuang Wang, Licheng Jiao, Licheng Jiao, Yang Zhao, Yang Zhao, } "Novel embedded image compression technique using second generation bandelets and zerotree coding", 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; https://doi.org/10.1117/12.774795
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