基于IHS变换的多光谱遥感图像有损压缩算法

Lossy Compression Algorithm of Multispectral Remote Sensing Images Based on IHS Transform

提出了一种有效的多光谱遥感图像有损压缩算法,该算法根据多光谱遥感图像的数据特点,将IHS变换和整数小波变换相结合进行数据压缩。采用IHS变换去除谱间相关性;采用整数小波变换去除空间相关性,依据各个子带的重要程度,用自适应阈值进行量化,并分别对量化后的数据和重要图表采用固定比特平面编码和游程编码。实验结果表明,算法在保证平均PSNR≥33dB时,获得了较高的压缩比,并且算法硬件实现简单,对内存的需求低。

An effective and lossy compression algorithm of multispectral remote sensing images was proposed. On the basis of analyzing characteristic of multispectral images, IHS transform and integer wavelet transform were combined to compress data, IHS transform approach was applied to remove the correlation between spectral bands and integer wavelet transform was applied to remove the correlation of spatial. According to the important degree of the each subband, adaptive threshold values were chosen in the quantification, and fixed bit-plane coding and RLE were individually used to quantify data of every subband and important graph. The experiment result shows ,that the algorithm has higher compression ratio while PSNR≥33dB. In addition, the algorithm requires small storage and is easy to be realized in hardware.