NDLI: A new image fusion quality assessment method based on Contourlet and SSIM

Content Provider	IEEE Xplore Digital Library
Author	Congli Li Xiushun Yang Binbin Chu Wei Lu Lulu Pang
Copyright Year	2010
Description	Author affiliation: New Star Research Institute of Applied Technology, Hefei, Province, China (Congli Li; Xiushun Yang; Binbin Chu; Wei Lu; Lulu Pang)
Abstract	As Contourlet transform can give an asymptotic representation of edges and contours in image by virtue of its characteristics of multidirectional and flexible, it is introduced into the quality assessment of fused image. A new method (CSSIM) for image fusion quality assessment based on Contourlet and structural similarity of images is put forward in this paper. We introduce distortion channel to simulate the fusion process, that is, using the process of the reference image transmitted through the distortion channel to obtained the fused image to simulate the process of the source images employed a certain fusion method and fusion rules to obtained the fused image. Through the evaluation of the structure similarity between reference image and the fused image, it will achieve the evaluation of the performance of fusion method. According to this algorithm, a set of experiments are implemented. The results illustrate that the proposed method has a good consistency with the subjective assessment of human beings, as well as comparison to the classical SSIM algorithm it has a better differentiation.
Starting Page	246
Ending Page	249
File Size	569444
Page Count	4
File Format	PDF
ISBN	9781424455379
e-ISBN	9781424455409
DOI	10.1109/ICCSIT.2010.5563771
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization PSNR SSIM image fusion Contourlet image quality assessment Image fusion Pixel
Content Type	Text
Resource Type	Article

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