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Still image compression based on 2D discrete wavelet transform

静止图象压缩基于 2D 分离小浪变换

作     者:Tan, RHG Zhang, JF Morgan, R Greenwood, A 

作者机构:Liverpool John Moores Univ Sch Engn Liverpool L3 3AF Merseyside England 

出 版 物:《ELECTRONICS LETTERS》 (电子学快报)

年 卷 期:1999年第35卷第22期

页      面:1934-1935页

核心收录:

学科分类:0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 

主  题:still image compression discrete wavelet transforms Image and video coding inherent self-similarity data compression adaptive scanning Integral transforms in numerical analysis 2D discrete wavelet transform image coding data packing wavelet coefficients zero mapping Computer vision and image processing techniques 

摘      要:The objective of this Letter is to develop new techniques for enhancing the compression of still images. The features of the proposed algorithm include: (i) zero mapping, which exploits the inherent self-similarity of wavelet coefficients at different scales, (ii) adaptive scanning, and (iii) data packing. Our algorithm outperforms both JPEG and the embedded zerotree wavelet (EZW) algorithm.

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