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基于谱间DPCM和整数小波变换的超光谱图像无损压缩
引用本文:吴冬梅,王军,张海宁.基于谱间DPCM和整数小波变换的超光谱图像无损压缩[J].光子学报,2008,37(1):156-159.
作者姓名:吴冬梅  王军  张海宁
作者单位:1. 西安科技大学,通信与信息工程学院,西安,710054
2. 西安工业大学,电子信息工程学院,西安,710032
摘    要:分析了干涉成像光谱仪所获取图像的谱间和空间相关性,提出了一种混合无损压缩方案.首先进行谱间DPCM预测,再对残差图像采用整数小波变换,最后对小波系数进行二值自适应算术编码.实验结果表明,该算法可实现无损压缩,压缩比平均可达2.018,较二维整数小波变换算法提高40.3%.并且算法复杂度较低,只有加减和移位运算,易于硬件实现.

关 键 词:超光谱图像  无损压缩  谱间DPCM  整数小波变换  二值自适应算术编码
文章编号:1004-4213(2008)01-0156-4
收稿时间:2007-04-23
修稿时间:2007年4月23日

Research of Hyper-spectral Image Lossless Compressing Technology Based on DPCM Between Spectra and IWT
WU Dong-mei,WANG Jun,ZHANG Hai-ning.Research of Hyper-spectral Image Lossless Compressing Technology Based on DPCM Between Spectra and IWT[J].Acta Photonica Sinica,2008,37(1):156-159.
Authors:WU Dong-mei  WANG Jun  ZHANG Hai-ning
Abstract:The spectral correlation and spatial correlation of images from interferential imaging spectrometer is analyzed and calculated.The mixed lossless compression scheme is proposed.This scheme includes three aspects:DPCM between Spectra,Integer Wavelet Transform to prediction error image and adaptive bit-level Arithmetic Coding to Wavelet coefficient.The experimental data shows that the algorithm has carried out lossless compression,the average of compression ratio is up to 2.018.It is increase 40.3% in comparison with Integer Wavelet Transform of two dimensions.This algorithm use addition-subtration and shifts to complete data compression.Implementation with hardware is easier.
Keywords:Hyper-spectral image  Lossless -compressing  DPCM between spectra  Integer wavelet transform(IWT)  Adaptive bit-level arithmetic coding
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