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基于提升方案的整数Deslauriers-Dubuc(m,n)插值小波变换结合SPIHT应用于图象无损压缩编码性能的研究
引用本文:解成俊,王廷杰.基于提升方案的整数Deslauriers-Dubuc(m,n)插值小波变换结合SPIHT应用于图象无损压缩编码性能的研究[J].小型微型计算机系统,2002,23(12):1465-1468.
作者姓名:解成俊  王廷杰
作者单位:中国科学院,长春光学精密机械与物理研究所,图像研究室,吉林,长春,130021;北华大学,师范理学院,吉林,吉林,132011
基金项目:中国科学院知识创新工程青年基金 (项目号 Q0 1H0 1)资助
摘    要:研究了基于提升方案的 Deslauriers- Dubuc( m ,n)插值小波变换结合 SPIHT应用于图象无损压缩编码的性能 .实验结果表明 ,基于提升方案和整数运算的插值小波变换是整 -整可逆变换 ,适于快速的 ,渐进性的直至无损图象压缩 .无损压缩性能远好于 Huffm an、Win Rar、Raw Win Zip、JPEGL S.以 ( 4,4)插值小波为例平均而言压缩比分别比上述编码方法提高了 63 % ,49% ,46% ,3 4%左右 .由于实现的可逆小波变换是基于整数运算的 ,可由加法和移位完成 ,运算速度快 ,便于动态图象编码及硬件实现

关 键 词:提升方案  无损图象压缩  Deslauriers-Dubuc(m  n)可逆插值小波变换  SPIHT  熵编码
文章编号:1000-1220(2002)12-1465-04
修稿时间:2001年1月22日

An Image Lossless Compression Coding Performance Research Based on Integer Deslauriers-Dubuc(m,n)Interpolating Wavelet Transform and SPIHT Based on Lifting Scheme
XIE Cheng-jun ,WANG Jing-jie.An Image Lossless Compression Coding Performance Research Based on Integer Deslauriers-Dubuc(m,n)Interpolating Wavelet Transform and SPIHT Based on Lifting Scheme[J].Mini-micro Systems,2002,23(12):1465-1468.
Authors:XIE Cheng-jun    WANG Jing-jie
Affiliation:XIE Cheng-jun 1,2,WANG Jing-jie 1
Abstract:An image lossless compression coding performance is researched for Deslauriers-Dubuc(m,n)interpolating wavelet transform with SPIHT based on lifting scheme .experimented result indicate that The Transform is integer-integer invertible transform based on lifting scheme and integer operation , suitable fast and in progressively until to image lossless compression .performance of lossless compression is well good then popular Huffman?WinRar? Raw WinZip?JPEGLS. For example in (4,4) by comparison whit these method average improved the compression rate by about 63%,49%,46%,34% respectively . due to invertible transform is based on integer operation may be by addition and shift completed, so that fast and easy to dynamic image coding and hardware implement.
Keywords:lifting scheme  image lossless compression  deslauriers-dubuc(m  n)invertible interpolating wavelet transform  SPIHT  entropy coding
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