基于整数小波变换的无人机侦查图像的压缩  

UAV Reconnaissance Image Compression Based on Integer Wavelet

作　　者：黄金杰[1] 逯仁虎[1] 

机构地区：[1]哈尔滨理工大学自动化学院,黑龙江哈尔滨150080

出　　处：《现代电子技术》2010年第14期49-52,共4页Modern Electronics Technique

基　　金：国家重点基础研究发展计划(973)项目(2002cb312201-3);国家自然科学基金资助项目(60575036);哈尔滨市优秀学科带头人专项基金资助项目(2007RFXXG023)

摘　　要：基于传统小波变换过程复杂的特点和SPIHT编码算法过程重复运算、存储量大,并且侦查图像的目标像素小且目标数量大,相关性低,提出了一种基于差分脉冲编码调制和整数小波变换相结合的改进混合编码算法。首先以压缩效果为准则,以侦查图像为标准训练图像,以压缩比、峰值信噪比为参数来确定最优的小波基。然后以(9,7)整数提升小波对图像进行分解,对低频子带的重要系数先进行DPCM编码。最后对整个变换后的子带进行SPIHT编码。实验结果表明该算法在相同的比特率下得到的重构图像的PSNR值高于原算法,而且侦查图像的低频近似效果得到了改善。An improved omnibus coder arithmetic based on differential pulse code modulation （DPCM） and IWT is proposed, in view of the problems of complicated convolution process of wavelet transform, repeated calculations and a large number of memories of SPIHT algorithm, as well as the object pixels of spy image are very small and have big quantity, the relativity between the pixels in the frame is little. At first, the compression result is given as the standard, and the spy image as the standard training image, the compression ratio, PSNR and reserved energy percentage after compression are taken as parameters to look for the best wavelet filter. Secondly, the image is decomposed by using（9,7） tap integer lifting wavelet, the DPCM is used to code in the lowest frequency sub-band. Finally, the SPIHT are used to code all the sub-band after trans- formed. Experiments demonstrate that the PSNR value is higher than that of the original SPIHT at the same bit rate.

关 键 词：图像压缩 侦查图像 整数提升小波 分层树集合分裂算法 

分 类 号：TP919.8[自动化与计算机技术]