基于小波变换的遥感图像有损压缩优化技术  

Optimum Technique of Remote Image Lossy Compression Based on Wavelete Transform

作　　者：曾湧[1] 傅俏燕[1] 王文宇[1] 何善铭 

机构地区：[1]中国资源卫星应用中心,北京100830

出　　处：《地球信息科学》2004年第2期88-91,共4页Geo-information Science

摘　　要：在遥感应用领域,对图像质量的要求较为严格,因此,在遥感图像数据的噪声处理中,应注重保持高质量图像。本文提出了一种基于小波变换的遥感图像有损压缩优化技术。首先分析了离散余弦变化在数据压缩中存在的缺陷与不足;其次应用小波的良好变焦性能,提出2层2维小波图像的塔式分解方案,分离出图像的直流、低频和高频分量;最后在统计意义上,基于最小均方误差原理,针对遥感图像的低频和高频分量构造最优量化器,实现图像的高质量压缩,并通过实验,得到压缩比与峰值信噪比的大致关系。In the domain of surveying and mapping, users present rigorous requirement for the image quality. But there are noises in the image data, hence it is possible to perform lossy compression. In this paper, an optimum technique about remote image lossy compression based on wavelete transform is presented. First, we analyse the disadvantage of data compression based on discrete cosine transform; then we adopt the method of two-layer and two-dimension wavelete transform to decompose original image; finally, according to the characteristics of remote sensing images, optimal quantizers are constructed based on LMSE principle to meet the high quantity compression. At the same time, according to the experiment, the rough relation between the compression rate and p-p SNR is acquired.

关 键 词：遥感 图像压缩 离散余弦变化 小波变换 

分 类 号：P237[天文地球—摄影测量与遥感]