基于谱间预测和小波变换的成像光谱图像压缩算法  

A Spectral Imagery Compression Algorithm Based on Spectral Prediction and Wavelet Transform

作　　者：卓力[1] 肖竹[1] 王素玉[1] 李晓光[1] 朱青[2] 

机构地区：[1]北京工业大学信号与信息处理研究室,北京100124 [2]北京工业大学软件学院,北京100124

出　　处：《北京工业大学学报》2010年第8期1037-1043,共7页Journal of Beijing University of Technology

基　　金：国家自然科学基金资助项目(60772069);国家'八六三'计划资助项目(2009AA12Z111);博士后基金资助项目(20090450268)

摘　　要：提出了一种基于谱间预测和小波变换的成像光谱图像压缩算法,利用谱间预测和二维小波变换分别去除图像的谱间和空间相关性,并结合波段排序预处理和一种高效的基于四叉树分裂的逐小波子带编码方法,取得了较好的编码效果.实验结果表明,在相同压缩比条件下,采用该算法得到的重建图像的峰值信噪比比JPEG2000标准平均提高3.69dB.该算法的压缩码流具有一定的抗误码性能,比较适合面向遥感平台的应用.A spectral imagery compression algorithm based on spectral prediction and wavelet transform is presented. Utilizing spectral prediction and 2D wavelet transform respectively,the special and spectral redundancy is removed. Then,combined with band reordering and quadtree-based subband by subband wavelet image coding method,the experimental results of the proposed scheme show obvious advantages. At the same compression ratio,the average PSNR of reconstructed images is 3. 69 dB higher than that of JPEG2000. Meanwhile,with the anti-error and multi-resolution decoding features,it is suitable for the application in remote sensing platforms.

关 键 词：成像光谱图像 低损压缩 谱间预测 小波变换 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]