文章基本信息

标题：A Detail Preserved Compression Based on Contourlet Transform
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作者：FeiYan Zhang ; LeiGuang Wang ; Feng Yuan 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B4
页码：245-248
出版社：Copernicus Publications
摘要：It is well known that the commonly used separable extensions of one-dimensional transforms, such as the wavelet transform, have limitations in capturing the geometry of image edges. But natural scene images always have geographic lines, such as textures, edges which can not be well reconstructed when compressed by using one-dimensional transform. So in lossy compression of images, it is important to find a method which can best preserve the image by using a small description. To solve this problem, in this paper, we present a new compression method which can preserve one of the most important cues of image: the directional details. In order to show the ability of detail preserving lossy coder we present tests using typical images with much directional information, and a comparison between wavelets and the new wavelet based contourlet transform(WBCT) is made. Finally, we present the results obtained by using image quality assessment method. Our experiments demonstrate that the decompressed images based on WBCT can preserve more directional information than wavelet transform, which can be used efficiently in future image processing such as classification, edge detecting and so on
关键词：Wavelet Based Contourlet Transform; Detail Preserving; Directional Decomposition; Bitplane Coding