Nonlinear Adaptive Wavelet Transform for Lossless Image Compression

被引：2
|
作者：
ZHANG Dong1
2. State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
3. National Engineering Research Center for Multimedia Software
机构：
来源：
Wuhan University Journal of Natural Sciences | 2007年 / 02期
基金：
中国国家自然科学基金;
关键词：
adaptive wavelets; lifting scheme; nonlinear operator; morphological predictor; image compression;
D O I：
暂无
中图分类号：
TP391.41 [];
学科分类号：
080203 ;
摘要：
The paper presents a class of nonlinear adaptive wavelet transforms for lossless image compression. In update step of the lifting the different operators are chosen by the local gradient of original image. A nonlinear morphological predictor follows the update adaptive lifting to result in fewer large wavelet coefficients near edges for reducing coding. The nonlinear adaptive wavelet transforms can also allow perfect reconstruction without any overhead cost. Experiment results are given to show lower entropy of the adaptive transformed images than those of the non-adaptive case and great applicable potentiality in lossless image compression.
引用
收藏
页码：267 / 270
页数：4
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