基于SHIRCT和减影及CDF(2,2)DWT混合变换的超光谱图像无损压缩算法  

Lossless hyper-spectral image compression algorithm based on mixing transform of SHIRCT,subtraction and CDF(2,2) DWT

作　　者：解成俊[1] 刘太辉[1] 

机构地区：[1]北华大学数字图像处理研究所,吉林省吉林市132011

出　　处：《吉林大学学报（工学版）》2008年第4期919-923,共5页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(60672156);吉林省科技厅项目(20060519)

摘　　要：提出了SHIRCT和减影混合变换去除谱间冗余、2D-CDF(2,2)DWT去除空间冗余,该变换完全由加法和移位完成,便于硬件实现。去冗余效果好于(1D+2D)CDF(2,2)DWT+改进的EBCOT算法进行编码。实验结果表明,无损压缩性能略好于(1D+2D)CDF(2,2)DWT+改进EBCOT,远好于JPEG-LS、WinZip、ARJ、DPCM、文献[1]及NMST和MST。Integer reversible color transform （SHIRCT） and subtraction mixing transform to eliminate spectral redundancy was presented, meanwhile 2D-CDF （2, 2）DWT was used to eliminate spatial redundancy. This transform can be fully implemented by add and shift operations, therefore it is convenient for hardware realization. Its redundancy elimination effect is better than that of （1D＋2D） CDF（2, 2）DWT. An improved EBCOT algorithm was applied for compression coding. Experiments show that in lossless image compression application the effect of the proposed method is slightly better than the effect acquired using （1D＋2D）CDF（2, 2）DWT and improved EBCOT algorithm. It is much better than JPEG-LS, WinZip, ARJ, DPCM, NMST and MST, and the method in the literature[l].

关 键 词：信息处理技术 SHIRCT和减影混合变换 冗余 无损压缩 改进的EBCOT算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]