基于DWT和减影混合变换的超光谱图像无损压缩算法研究  

Research of Lossless Hyper-spectral Image Compression Algorithm Based on the Combination of DWT Transform and Substraction Transform

作　　者：解成俊[1] 田永清[1] 

机构地区：[1]北华大学数字图像处理研究所,吉林132011

出　　处：《计算机科学》2008年第1期255-257,共3页Computer Science

基　　金：国家自然科学基金资助;谱间(≥3波段)去冗余最优矩阵整数可逆变换求解;空间变换最优结合;优化编码算法超光谱图像压缩方案研究(60672156);吉林省科技厅资助项目(20060519)

摘　　要：提出了一种新的去冗余方案,利用DWT去除空间冗余、无边界延拓DWT和帧间减影混合变换去除谱间冗余、改进的EBCOT算法进行编码。实验结果表明,无损压缩远好于JPEG-LS、WinZip、ARJ、DPCM、中国科学院一小组、NMST、MST的结果,以JPL的Canal测试图像为例,平均而言无损压缩比分别比上述算法提高了43%、38%、36%、31%、17%、13%、10%左右。本文算法运算速度快,便于硬件实现。This paper presents a new redundancy elimination approach, it uses CDF（2,2） DWT to eliminate spatial redundancy, substraction between frames and boundless extension CDF（2,2）DWT transform to remove spectral redundancy, and improved EBCOT algorithm to finish compression coding. The results show that in lossless image compression applications the method is much better than JPEG-I.S,WinZip, AR, DPCM and the research result of a Chinese A- cademy of Sciences research team.NMST.MST. Using test set of Canal images of JPI. laboratory as a example data set, on the average the compression ratio using this algorithm increases about 43%、38%、36%、31%、17%、13%、10% respectively comparing to the above algorithms. The algorithm presentes in this paper has priority in aspects such as computing efficiency and hardware realization convenience.

关 键 词：空间和谱间相关冗余去除 无损压缩 改进的EBCOT算法 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]