文章基本信息

标题：Gray Scale Image Fusion using Modified Contourlet Transform
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作者：Gurdeep Singh ; Naveen Goyal
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：9
出版社：S.S. Mishra
摘要：The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a new image which is more suitable for human and machine perception or further image-processing tasks such as segmentation, feature extraction and object recognition. The major drawback of the contourlet transform is that its basic images are not localized in the frequency domain and less regula rity in spatial domain. In the current, we analyse the cause of this problem, and propose a new contourlet construction as a solution. So, instead of using the Laplacian pyramid, we employ a new multi-scale decomposition defined in the frequency domain so that the resulting basis images are sharply localized in the frequency domain and exhibit smoothness along their main ridges in the spatial domain. It forms a multi resolution directional tight frame designed to efficiently approximate images made of smooth regions separated by smooth boundaries
关键词：Activity Level Measurement; Basis Pursuit Denoising; Contourlet Transform; Discrete Wavelet ;Transform; Inverse Contourlet Transform