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基于快速提升小波变换的多阈值嵌入零树小波图像编码算法
引用本文:王向阳,杨红颖.基于快速提升小波变换的多阈值嵌入零树小波图像编码算法[J].测绘学报,2002,31(4):333-338.
作者姓名:王向阳  杨红颖
作者单位:辽宁师范大学,计算机与信息技术学院,辽宁,大连,116029
基金项目:国家自然科学基金,69974032,
摘    要:提出了基于快速提升小波变换的多阈值嵌入零树小波图像编码算法,该算法能够通过以下3项措施进一步提高嵌入零树小波编码(Embedded Zerotree Wavelet,简称EZW)编码方案之工作效率:(1)引入快速提升小波以改进变换过程;(2)定义多阈值以完善逐次逼近量化过程;(3)采纳复杂关联模型以提高熵编码效率。实验结果表明:提出算法是一种高效的图像压缩算法,其压缩速度、图像复原质量等关键技术指标均优于EZW编码算法。

关 键 词:图像压缩  EZW编码  快速提升小波变换  多阈值  图像处理
文章编号:1001-1595(2002)04-0333-06

The Embedded Zerotree Wavelet Image Coding Based on Fast Lifting Wavelet Transform and Multi-threshold
WANG Xiang yang,YANG Hong ying.The Embedded Zerotree Wavelet Image Coding Based on Fast Lifting Wavelet Transform and Multi-threshold[J].Acta Geodaetica et Cartographica Sinica,2002,31(4):333-338.
Authors:WANG Xiang yang  YANG Hong ying
Abstract:A novel embedded zerotree wavelet image coding based on fast lifting wavelet transform and multi threshold is presented. In our new image compression algorithm, the fast lifting wavelet transform is used instead of fast wavelet transform, only significant subbands are scanned by using the significant test with the multi threshold, and the complex context modeling is used. The experiment results show that our new image compression scheme performs better than that of EZW in the aspects of compression ratio, image quality and coding efficiency.
Keywords:image compression  Embedded Zerotree Wavelet coding  Fast Lifting Wavelet Transform(FLWT)  multi  threshold
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