整型小波变换应用于遥感图像无损压缩  

Lossless Compression of Remote Sensing Image Using Integer Wavelet Transform

作　　者：毋立芳[1] 张晓玲[1] 沈兰荪[1] 

机构地区：[1]北京工业大学信号与信息处理研究室,北京100022

出　　处：《遥感技术与应用》2000年第3期175-178,共4页Remote Sensing Technology and Application

摘　　要：基于“提升”( Lifting)算法实现整型小波变换 ( IWT) ,然后将图像变换到小波域 ,用零树编码和算术编码相结合的方式对图像进行无损压缩 ,并针对遥感图像波段之间的相关性进行了谱间预测。最后进行了一些相关实验 ,实验证明将By “lifting” scheme, we can get Integer Wavelet Transforms(IWT) which are important for lossless compression of image. Based on the idea, we can get the coefficients for reversible integer wavelet transforms, then encode this coefficients by zero\|tree coding and arithmetic coding .Finally we compare the experimental results with the best JPEG, It can be seen that IWT can be used in remote sensing image lossless compression efficiently.

关 键 词：整型小波变换 零树编码 遥感图像 无损压缩 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]