基于3维SPIHT编码的超光谱图像压缩

Hyperspectral image compression based on 3D SPIHT coding algorithm

提出一种针对超光谱图像压缩的3维SPIHT编码算法。通过对超光谱图像进行3维小波变换,同时去除像素数据间的空间冗余和谱间冗余。针对变换后得到的小波系数,构造一种3维空间方向树结构,并用经3维扩展后的SPIHT算法(3DSPIHT算法)对小波系数进行量化编码。实验证明,基于3维小波变换的3维SPIHT编码算法在对超光谱图像压缩时,表现出了优良的率失真性能。并且算法复杂度适中,具有嵌入式特性。

A 3D SPIHT algorithm is proposed to deal with the compression of hyperspectral images, In order to eliminate the intraband and interband dependencies, 3D discrete wavelet transform is used to decorrelate the hyperspectral images. After transform, Said and Pearlman＇s SPIHT algorithm is used to code the wavelet coefficients. The spatial orientation trees of the wavelet coefficients are three-dimensional, so a 3D SPIHT algorithm is constructed to suitably compress the hyperspectral images. The test results show that the 3D SPIHT algorithm based on 3D DWT for hyperspectral images compression is very efficient, the algorithm is embedded and has modest complexity.