Adaptive interference hyperspectral image compression with spectrum distortion control
Adaptive interference hyperspectral image compression with spectrum distortion control
复制标题
具有光谱失真控制的自适应干涉高光谱图像压缩
DOI：
10.3788/col20090710.0934
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发表时间：
2009-10
期刊：
影响因子：
--
通讯作者：
Li, Yunsong
中科院分区：
文献类型：
--
作者：
Wu, Chengke;Chen, Dong;Ma, Jing;Li, Yunsong
干涉光谱仪作为下一代成像光谱仪之一，受到了广泛的关注。传统的光谱压缩方法只能对干涉光谱仪产生的高光谱图像进行空域的视觉保护，而忽略了干涉光谱仪在傅立叶域的光学应用。因此本文分析了傅里叶域失真与空域压缩之间的关系。在此基础上，提出了一种新的编码方案，它可以在空域压缩数据，同时减少傅立叶域的失真。基于率失真优化理论，根据光程差（OPD）的优先级自适应提升零树的率失真斜率，对分级树集合分割（SPIHT）码流进行截断。实验结果表明，该方法在保证空域图像质量的同时，能在傅立叶域获得更好的性能。
As one of the next generation imaging spectrometers, interferential spectrometer has been paid much attention. With traditional spectrum compression methods, the hyperspectral images generated by interferential spectrometer can only be protected with better visual quality in spatial domain, but its optical applications in Fourier domain are often ignored. So the relation between the distortion in Fourier domain and the compression in spatial domain is analyzed in this letter. Based on this analysis, a novel coding scheme is proposed, which can compress data in spatial domain while reducing the distortion in Fourier domain. The bitstream of set partitioning in hierarchical trees (SPIHT) is truncated by adaptively lifting the rate-distortion slopes of zerotrees according to the priorities of optical path difference (OPD) based on rate-distortion optimization theory. Experimental results show that the proposed scheme can achieve better performance in Fourier domain while maintaining the image quality in spatial domain.