基于分类和3D-SPIHT算法相结合的多光谱图像压缩  

Multispectral Image Compression Based on Classification and 3D-SPIHT Algorithm

作　　者：罗建书[1] 卓红艳[1] 孙蕾[1] 

机构地区：[1]国防科技大学理学院数学与系统科学系,长沙410073

出　　处：《电子与信息学报》2006年第9期1607-1610,共4页Journal of Electronics & Information Technology

摘　　要：文中提出了一种基于分类预测的三维SPIHT算法，并对多光谱1～7波段图像进行了压缩实验。首先对图像数据作三维变换，窄域采用浮点97小波去除相关性，谱域分类预测去除冗余：再根据分类预测算法获得系数的残差图像，并对残差图像进行三维SPIHT编码；而对分类预测时得到的码书和索引表进行哈夫曼无损压缩；将这3个编码文件传送到解码端用于图像重构。实验证明该算法具有很好的重构效果。The paper presents an algorithm based on classification and 3D-SPIHT for 1-7 bands multispectral images compression. First, the 3D transform for the image data is used with CDF97 wavelet to move spacial correlation and classification prediction to move spectral correlation. Second, according to remain image coefficients from classification prediction, the method realizes compression coding by 3D-SPIHT and adopts Huffman coding files to do the lossless coding of codebook and index table. Meanwhile it transmits all coding files to the decoding so as to reconstruct image. The results of numerous experiments indicate the quality of reconstructive image.

关 键 词：遥感图像 变换编码 SPIHT 分类预测 

分 类 号：TP751.2[自动化与计算机技术—检测技术与自动化装置]