中国空间科学技术

中国空间科学技术

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基于模式特征的图像压缩算法

尤玉虎;周孝宽;   

  1. 北京航空航天大学宇航学院,北京航空航天大学宇航学院 北京100083,北京100083
  • 发布日期:2006-02-25

Pattern Character Based Image Compression Method

You Yuhu Zhou Xiaokuan(School of Astronautics,Beijing University of Aeronautics and Astronautics,Beijing 100083)   

  • Online:2006-02-25

被引次数

9

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

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).