摘要
在测绘遥感领域, 对图像的像质要求较为严格, 但即便如此, 遥感图像数据中仍然含有噪声, 从而有损压缩是可行的。文章在遥感图像信噪分析的基础上, 提出了一种遥感图像受控有失真压缩技术。首先分析了遥感图像有失真压缩的可行性; 然后应用小波的良好变焦性能, 对遥感图像施行2层2维小波的塔式分解; 对低频子图进行精细量化,对高频子图进行从粗到精的量化; 最后, 考察不同的高频量化器对遥感图像的压缩倍率和恢复图像像质的影响。
In the domain of surveying and mapping , users present rigorous requirements for the image quality. But there are noises in the image data, so lossy compression is feasible. In this paper, a method of remote image lossy compression in control is presented. First, the feasibility of remote image lossy compression is analysed. Then the method of two layer and two dimension wavelet transform to decompose original image is adopted, and 7 high frequency quantizers according to remote image's feature is created. At last, the relation between the compresion ratio and peak peak SNR at the different high frequency quantizers is stakied.
出处
《中国空间科学技术》
EI
CSCD
北大核心
2005年第1期23-27,共5页
Chinese Space Science and Technology
关键词
遥感图像处理
失真压缩
航天遥感
信噪比
Signal to noise ratio Compression Quantization Remote sense image processing Space remote sensing
