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超光谱图像的二阶差分预测压缩算法
引用本文:张威,戴明,尹传历,冯宇平.超光谱图像的二阶差分预测压缩算法[J].计算机科学,2010,37(5):240-242246.
作者姓名:张威  戴明  尹传历  冯宇平
作者单位:1. 中国科学院长春光学精密机械与物理研究所,长春,130033;中国科学院研究生院,北京,100049;北华大学计算机学院,吉林,132013
2. 中国科学院长春光学精密机械与物理研究所,长春,130033;北华大学计算机学院,吉林,132013
基金项目:国家高技术研究发展计划(863)项目(2008AA121803)资助
摘    要:根据超光谱图像空间谱间都存在较强相关性的特性,设计了一种结合空间预测的二阶差分预测压缩算法。采用MED预测器去除空间相关,采用二阶差分预测器去除谱间相关,并根据像素预测误差的权重设计了统一的去相关预测器,最后对误差图像做基于上下文的编码,实现图像的近无损压缩。研究结果表明,各波段峰值信噪比(PSNR)为39dB左右时,压缩比可以达到12.7,压缩效果比较理想。

关 键 词:超光谱图像  去相关  无损压缩  预测编码  
收稿时间:2009/6/16 0:00:00
修稿时间:2009/9/13 0:00:00

New Compression Approach to Hyper-spectral Images Based on Second Order Difference Predictive
ZHANG Wei,DAI Ming,YIN Chuan-li,FENG Yu-ping.New Compression Approach to Hyper-spectral Images Based on Second Order Difference Predictive[J].Computer Science,2010,37(5):240-242246.
Authors:ZHANG Wei  DAI Ming  YIN Chuan-li  FENG Yu-ping
Affiliation:Changchun Institute of Optics/a>;Fine Mechanics and Physics/a>;Chinese Academy of Sciences/a>;Changchun 130033/a>;China;Graduate University of Chinese Academy of Sciences/a>;Beijing 100049/a>;China;Institute of Computer/a>;Beihua University/a>;Jilin 132013/a>;China
Abstract:According to hyper-spectral images having strong correlation both in spectral and spatial,a novel compression scheme based on second order difference predictive that combines with spatial predictive was presented.MED predictor was used to remove the spatial correlation.Second order difference predictor was used to remove spectral correlation.Then a unified predictor was designed based on the weight of predictive error.At last near lossless compression was completed after context-based coding.The results sho...
Keywords:Hyper-spectral images  Decorrelation  Lossless compression  Predictive coding  
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