基于重组的DPCM和位平面编码的高光谱图像压缩方案

Compression of Hyperspectral Image Using the Regrouped DPCM and Bit-Plane Coding

高光谱图像压缩技术是遥感数据存储和传输中的一个迫切需要解决的问题。高光谱图像的特点是存在着两类冗余:空间冗余和谱间冗余。高光谱图像的压缩要同时利用图像的空间冗余和谱间冗余。基于重组的DPCM和位平面编码的压缩方法,是通过重组的DPCM,去除帧间相关性,消除超光谱图像帧间的冗余;然后对残差图像的压缩采用基于小波变换和位平面编码技术,去除空间冗余。实验取得了令人满意的效果,证明了该算法的有效性和实用性。

The compression technology of hyperspectral image is a key problem to be solved in the storage and transportation of remote sensing data. Two kinds of redundancy exists in hyperspectral image： space - redundancy and the redundancy between spectrum. Reducing the space - redundancy and the redundancy between spectrum are simultaneously adopted to compress the hyper-spectral image. Based on the analysis of the characteristic of the hyperspectral image, the compression scheme includes two aspects： regrouped DPCM for in -frame decorrelation and image -compression based on wavelet transformation with bit -plane coding. The fine experimental results demonstrate that the proposed algorithm is effective and practical.