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基于IPCT/3-DTarp的高光谱图像无损压缩

Keywords: 高光谱图像,无损压缩,整数主成分变换,三维Tarp编码,IPCT,高光谱,图像无损压缩,CODER,HYPERSPECTRAL,COMPRESSION,压缩比,嵌入式码流,算法复杂度,熵编码,信息,映射,变换系数,算术编码器,自适应,驱动,概率估计,递归滤波器,编码阶段,相关

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Abstract:

研究了一种将变换矩阵分解为三角元素可逆矩阵(TERM)实现的主成分变换整数近似算法(IPCT).为限制误差和提高计算效率,改进了TERM分解中选择主元的方法.结合可逆整数PCT和三维Tarp编码技术,提出了一种新的高光谱图像无损压缩算法.该算法在进行空间维小波变换以后,利用改进的IPCT去除谱间相关;在编码阶段,新颖的三维Tarp编码器能利用五个简单的递归滤波器进行概率估计,以驱动一个非自适应算术编码器,对变换系数的显著性映射和细化信息进行熵编码.该算法复杂度较低,能够产生嵌入式码流,并且较已有的算法能获得更高的压缩比.

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