改进自适应LBG矢量量化算法在干涉高光谱图像压缩中的应用

在基于点到线模型扩展LBG(linde-buzo-gray algorithm)矢量量化算法的基础上,提出了一种更为高效的新型自适应LBG矢量量化算法,并给出了该算法在干涉高光谱图像无损压缩中的实际压缩方案.该算法在LBG算法码书中利用点到线的垂线关系基础上进行了改进,执行进一步的自适应化迭代进而获得了更小的残差.将自...

An adaptive VQ algorithm used in interferential multi-spectral image

In the present paper, an adaptive LBG VQ algorithm is proposed based on the point to line model for the expansion of LBG VQ algorithm which was proposed in 2009, and using the algorithm proposed in this paper can achieve less error quantification, and can avoid the increase in bits of the larger index generated by the point to line expansion of LBG VQ algorithm. This new algorithm was used in lossless compression of interferential multi-spectral LASIS image, and experiment shows that the adaptive LBG VQ algorithm can remarkably improve the lossless compression performance of interferential multi-spectral image, and that if using these VQ algorithms above after Dual-Direction Prediction, the compression ratio generated by the point to line expansion of LBG VQ algorithm will be a little less than that generated by conventional LBG VQ algorithm, and the compression ratio generated by the algorithm proposed in this paper will be much larger than that generated by conventional LBG VQ algorithm.