NDLI: Multiresolution region-based image fusion using the Contourlet Transform

Content Provider	IEEE Xplore Digital Library
Author	Ibrahim, S. Wirth, M.
Copyright Year	2009
Description	Author affiliation: Department of Computing and Information Science, University of Guelph, Canada (Ibrahim, S.; Wirth, M.)
Abstract	Different sensors provide a variety of images with different specifications (spectral, spatial and radiometric resolution, etc.). Image fusion techniques have been utilized to benefit the best features of all input images and to provide better application-wise output images. In this paper, a new region-based image fusion technique using the Contourlet Transform (CT) is proposed to produce a fused image better for human and machine interpretation and to reduce the computational effort of the traditional techniques. Due to the high directionality and anisotropy of the CT, the proposed technique is mainly developed to solve the problem of capturing the fine lines and contours of the input images. In this technique, the input images are segmented into small regions more suitable for the proposed fusion approach, where the segmentation process is performed in the frequency domain for better results. The fusion decision is made based on a new quality assessment scheme for each segmented region. Also, the presented region-based fusion approach is more robust than the traditional pixel-based techniques, where it reduces: the blurring effects, sensitivity to the misregistration, and noise effect in remote sensing images.
Starting Page	421
Ending Page	426
File Size	1783358
Page Count	6
File Format	PDF
ISBN	9781424438778
DOI	10.1109/TIC-STH.2009.5444464
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image sensors Image segmentation Image resolution Anisotropic magnetoresistance Computed tomography Image Fusion Humans Contourlet Transform Radiometry Spatial resolution Image fusion Frequency domain analysis
Content Type	Text
Resource Type	Article

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