基于小波编码的巡航导弹图像压缩方法研究  

Study on Compression Algorithm of Cruise Missile Image Based on Wavelet Code

作　　者：陈升来[1] 郑爱民[1] 李涛[1] 

机构地区：[1]中国电子科技集团第二十八研究所,南京210007

出　　处：《计算机科学》2009年第12期263-266,共4页Computer Science

基　　金：国家自然科学基金(60774091)资助

摘　　要：弹载图像压缩系统要求压缩算法在保证图像质量的前提下对图像实现大压缩比实时压缩。针对这些要求,提出了采用小波编码算法作为图像压缩系统的实现算法和DSP作为算法的实现平台。小波压缩算法分为两个部分,即先对图像进行整型提升小波变换,再利用SPIHT(Set Partitioning in Hierarchical Trees)算法对变换结果进行编码。对小波编码过程中存在重复运算和存储量大的缺点进行了改进,使之适合于DSP并行处理。实验结果表明,改进的算法与原算法相比,重构图像的峰值信噪比相当,大于28dB,满足图像质量要求;图像压缩速度达到20帧/s,完全满足实时性要求。Wavelet code algorithm is adopted because compression algorithm is required to large-ratio and real-time compress images by missile-borne compression system under the condition of the guarantee of image quality, and DSP （Digital Signal Processor） is selected as the processor of algorithm. Wavelet code algorithm is composed of two step： images are transformed by integer lifting scheme, and the transform results are coded by SPIHT（Set Partitioning in Hi- erarchical Trees） algorithm. Wavelet code algorithm is improved to be fit for DSP parallel process for it has some defections such as many repeat calculations, and consuming a large number of memories. Experiment results show that the peak signal-to-noise ratio （PSNR） of improved algorithm is larger than 28dB and is as much as original algorithm, which can meet the requirement of image quality; the compression speed is 20 frames oer minute.which totally meets real-time compression requirement.

关 键 词：巡航导弹图像 提升小波变换 SPIHT DSP 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TS803.2[自动化与计算机技术—计算机科学与技术]