基于三维集合分裂嵌入式零块编码算法的超光谱图像压缩

基于超光谱图像的特点,提出了一种三维集合分裂嵌入式零块编码(3D SPEZBC)的超光谱图像压缩算法。该算法首先采用三维小波包变换有效地去除超光谱图像的空间和谱间相关性,然后对于所生成的每个二维子带利用基于集合分裂的方法进行零块编码,最后再采用基于上下文的自适应算术编码来进一步提高编码性能。实验结果表明,3D SPEZBC算法具有与三维嵌入式零块编码(3D EZBC)算法相同的压缩编码性能,在各比特率下编码性能均明显优于三维集合分裂嵌入式块编码(3D SPECK)、三维等级树集合分裂(3D SPIHT)和非对称三维等级树集合分裂(AT-3D SPIHT)算法,并且略好于多分量JPEG2000编码(JPEG2000-MC)算法。此外,3D SPEZBC编码算法不但可以提供较好的率失真性能,而且相对于3D EZBC编码算法可以节省大量的存储空间。

Three-Dimensional Set Partitioned Embedded Zero Block Coding Alogrithm for Hyperspectral Image Compression

Based on the characteristics of hyperspectral images,three-dimensional set partitioned embedded zero-block coding(3D SPEZBC) algorithm for hyperspectral image compression is proposed.This algorithm adopts three-dimensional wavelet-packet transform to decorrelate hyperspectral image spectrally and spatially,and uses the quadtree partitioning method based on zero-block coding to process each of the two-dimensional subbands,and the context-based adaptive arithmetic coding scheme to further improve the coding performance.Experimental results show that the 3D SPEZBC algorithm has the same rate-distortion performances of three-dimensional embedded zero block coding(3D EZBC) algorithm,obviously outperforms three-dimensional set partitioned embedded block(3D SPECK) algorithm,three-dimensional set partitioning in hierarchical trees(3D SPIHT) algorithm and(AT-3D SPIHT) algorithm,and is slightly better than JPEG2000 multi-component(JPEG2000-MC) algorithm at different bit rate in the compression performances.Moreover,the 3D SPEZBC algorithm not only provides excellent rate-distortion performance,but also can save considerable memory requirement in comparison with the 3D EZBC algorithm.