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基于模式特征的图像压缩算法
引用本文:尤玉虎,周孝宽.基于模式特征的图像压缩算法[J].中国空间科学技术,2006,26(1):59-64.
作者姓名:尤玉虎  周孝宽
作者单位:北京航空航天大学宇航学院,北京,100083
摘    要:从人眼视觉特征与空域模式特征的角度出发,提出了一种基于模式特征的图像压缩算法。经过对一组遥感图像的对比试验,可以看出本算法在对纹理信息丰富的遥感图像进行压缩时明显优于SPIHT算法。

关 键 词:视觉信号  遥感图像处理  压缩  算法
收稿时间:2004-09-20
修稿时间:2004-09-202005-03-14

Pattern Character Based Image Compression Method
You Yuhu,Zhou Xiaokuan.Pattern Character Based Image Compression Method[J].Chinese Space Science and Technology,2006,26(1):59-64.
Authors:You Yuhu  Zhou Xiaokuan
Institution:School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100083
Abstract:Even though the wavelet based image compression algorithms have been well(recognized) recently,the compression results of these algorithms are not well enough for the images with rich textures,since the spatial pattern characters of an image which are important for human vision have not yet been involved in these algorithms directly.A new image compression method based directly on pattern characters of image named PCBC(Pattern Character Based Image(Compression) Method) is introduced.The results of testing on a set of remote sensing images with rich textures show that the PSNR(Power Signal-to-Noise Ratio) of PCBC is higher than that of SPIHT(Set Partitioning in Hierarchical Trees).
Keywords:Visual signal Remote sensing image processing Compression Algorithm
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