基于一维DCT的高光谱点干涉图像压缩算法  

Hyper-spectral interferential image compression algorithm based on 1-D DCT

作　　者：史洁玉[1] 周付根[1] 刘志芳[1] 

机构地区：[1]北京航空航天大学图像处理中心,北京100083

出　　处：《仪器仪表学报》2006年第z3期2261-2264,共4页Chinese Journal of Scientific Instrument

基　　金：863基金(708)资助项目

摘　　要：根据干涉型高光谱成像仪成像特点及光谱提取原理,提出一种基于一维DCT的压缩算法。算法首先将高光谱成像光谱仪所得的原始“像面”干涉图像序列“重组”成“点”干涉图像;然后利用光谱信息与“点”干涉图像之间的傅立叶变换关系,对点干涉图像进行直流平移后作行一维DCT变换,去除图像行内的相关性;最后将量化后的DCT系数作游程编码再送入算术编码器进行压缩。实验证明,算法总体性能高于SPIHT算法,特别是在光谱恢复精度上明显优于SPIHT。A new compression algorithm of hyper-spectral interferential images based on DCT is proposed regarding to the mechanism of interferential hyper-spectral imaging spectrometry. According to the features of original interferential image cube produced by LASIS, the image cube is regrouped as 'POINT' interferential image sequences firstly. Due to the relationship of Fourier transform between the spectral information and 'POINT' interferential image, one dimensional DCT is used to remove the redundancy for each row of 'POINT' interferential image. A high efficient entropy coding method combined Run-length with context-based arithmetic coder is realized to compress the quantized DCT coefficients. The experimental results show that the algorithm proposed in this paper is much better than SPIHT at the aspect of preserving the spectral information.

关 键 词：图像压缩 高光谱图像 DCT 游程编码 干涉成像光谱仪 

分 类 号：TH7-55[机械工程—仪器科学与技术]