NDLI: A structure information based image fusion algorithm using IHS and discrete wavelet transform

Content Provider	IEEE Xplore Digital Library
Author	Yi Yang Chong-Zhao Han De-Qiang Han
Copyright Year	2007
Description	Author affiliation: Xi'an Jiaotong Univ., Xi'an (Yi Yang; Chong-Zhao Han; De-Qiang Han)
Abstract	Pixel-level image fusion, as an important part of image fusion algorithms, can combine spectral information of coarse resolution imagery with finer spatial resolution imagery. In this paper we propose a new pixel-level multisensor image fusion algorithm for sharpening multispectral (MS) data with better spectral preservation ability and higher spatial resolution combining intensity-hue-saturation (IHS) transformation and discrete wavelet transform (DWT) and develop a fusion rule based on structure information extracted from the high spatial resolution image. Experimental results are presented on a set of MS images and a Systeme Pour I'Observation de la Terre Panchromatic image .The proposed method was compared visually and qualitatively with existing standard IHS transformation, standard DWT strategies and a simple combination of IHS and DWT. Comparative analysis shows that the proposed algorithm has higher fidelity to the original spectral information and better spatial quality with respect to those methods for the test images.
Starting Page	859
Ending Page	864
File Size	543904
Page Count	6
File Format	PDF
ISBN	9781424410651
DOI	10.1109/ICWAPR.2007.4420720
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Image resolution image fusion discrete wavelet transform Discrete wavelet transforms Data mining Remote sensing Information analysis Image analysis intensity-hue-saturation transformation Spatial resolution Image fusion Pixel quadtree Testing
Content Type	Text
Resource Type	Article

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