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.
出处
《遥感技术与应用》
CSCD
2000年第3期175-178,共4页
Remote Sensing Technology and Application
关键词
整型小波变换
零树编码
遥感图像
无损压缩
Integer wavelet transform, Zero\|tree coding, Remote sensing image, Lossless compression