Modified Contour let Transform and Its Application in Image Fusion

被引：0
|
作者：
Chen, Mi [1 ]
Fu, Yingchun [2 ]
机构：
[1] Capital Normal Univ, Coll Educ Technol, Key Lab Informat Acquisit & Applicat 3D, MOE, Beijing, Peoples R China
[2] South China Normal Univ, Coll Geograp Sci, Guangzhou, Peoples R China
来源：
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年
关键词：
image fusion; multiresolution analysis; contourlet transform; (a)over-tilde trous; contrast;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Image fusion is a very important research field in remote sensing. Recently developed contourlet transform is a new method of multiscale geometric analysis, it can offer a much richer set of directions and shapes, and thus it is more effective than wavelet in capturing smooth contours and geometric structures in images. This paper proposed a novel modified contourlet transformation method which is more applicable in image fusion, the method combined the idea of contrast and (a) over tilde trous to realize the multiscale decomposition of images. Then this new modified contourlet transform was uses to develop an algorithm of fusing panchromatic and multispectral remote sensing images. Experimental results showed that the proposed algorithm can obtain preferable results.
引用
收藏
页码：528 / +
页数：2
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