超光谱图像分层无损压缩方案  

Layered Lossless Compression Scheme of Hyper-spectral Image

作　　者：张威[1] 田峰[2] 

机构地区：[1]北华大学计算机科学技术学院,吉林吉林132021 [2]北京航空航天大学无人驾驶飞行器设计研究所,北京100083

出　　处：《小型微型计算机系统》2011年第12期2499-2503,共5页Journal of Chinese Computer Systems

基　　金：国家"八六三"高技术研究发展计划项目(2008AA121803)资助

摘　　要：在分析超光谱图像的位平面相关特性的基础上设计了一种分层无损压缩方案,对高位位平面采用DPCM去除谱间相关,并设计了静态编码方案以降低编码复杂度;低位以空间压缩为主,应用三角划分适应不同的目标边界.算法压缩压缩时间略低于谱间位平面变换算法,压缩比有12.7%的提高;和三维位平面算法相比,编解码时间分别降低了6.2%和4.3%,压缩比提高了6.3%.A new layered lossless compression scheme was designed by analyzing the correlations among bit-planes of hyper-spectral image.DPCM was used in spectral decorrelation of higher bit-plane,and then a static code strategy was applied to residual image.Lower bit-planes were compressed by spatial decorrelation after triangle partition.Compared with the inter-spectral bit-plane algorithm,the compression ratio has been improved by 12.7% with slightly shorter encoding time and decoding time;Compared with the 3-D bit-plane algorithm,the encoding time was decreased by 6.2%,the decode time was decreased by 4.3%,the compression ratio has been improved by 6.3%.Compared with other bit-plane algorithm,the encode time is decreased by 13.1% and 6.0%,the decode time is decreased by 12.7% and 6.3%.

关 键 词：图像压缩 超光谱图像 位平面 静态编码 三角网插值 

分 类 号：TP911[自动化与计算机技术]