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  

An Image Lossless Compression Coding Performance Research Based on Integer Deslauriers-Dubuc(m,n)Interpolating Wavelet Transform and SPIHT Based on Lifting Scheme

作　　者：解成俊[1] 王廷杰 

机构地区：[1]中国科学院长春光学精密机械与物理研究所图像研究室

出　　处：《小型微型计算机系统》2002年第12期1465-1468,共4页Journal of Chinese Computer Systems

基　　金：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 。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.

关 键 词：整数 Deslauriers-Dubuc(m n)插值 小波变换 SPIHT 图象无损压缩 性能 熵编码 图象编码 

分 类 号：TN919.81[电子电信—通信与信息系统]