基于整数小波变换的遥感超光谱图像无损压缩

由于遥感图像信息十分宝贵,应尽可能采用无损压缩或近无损压缩方法。本文提出基于"提升"(Lifting)算法实现整数小波变换(IWT)的方法,将变换方法用于去除空间冗余,保证了小波变换后图像信息无损失,再用算术编码对图像进行无损压缩。由于变换方法的去相关性能良好,实验证明将IWT应用于遥感图像无损压缩是有效的,能达到预期的目的,解码后的图像能无失真的恢复。

Integer Wavelet Transform-based Lossless Compression for Remotely Sensed Hyperspectral Image

As the remotely sensed hyperspectral image information is very precious,as far as possible using lossless or near lossless compression method.In this paper,based on the"Lifting"algorithm integer wavelet transform(IWT)method,the transformation method used to remove spatial redundancy,wavelet transform ensures no loss of image information,and then arithmetic coding lossless compression of image.As the transformation method to the good performance of related experiments that will be used in remote sensing image IWT lossless compression is effective to achieve the intended purpose,the decoded image can be restored without distortion.