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Optical Engineering

New method to quality evaluation for image fusion using gray relational analysis
Author(s): Miao Ma; Chongyang Hao; Hongpeng Tian
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Paper Abstract

Aiming at the performance evaluation of image fusion, this paper discusses the existing criteria and the guidelines for choosing performance parameters, and then a new method is proposed to index the fusion algorithms on their fused images. In the method, each of the fused images is used to extract a comparative sequence. Meanwhile, a reference sequence is constructed by combining all the fused images involved. Then an overall performance index is obtained from the gray relational degrees between the two kinds of sequences. The interest of the method lies in the fact that it does not require a ground-truth or reference image in forming the reference sequence and is inexpensive in processing time and storage memory. Experimental results show that the method is effective, and its potential application includes intellichoice and intellectual control.

Paper Details

Date Published: 1 August 2005
PDF: 5 pages
Opt. Eng. 44(8) 087010 doi: 10.1117/1.2011088
Published in: Optical Engineering Volume 44, Issue 8
Show Author Affiliations
Miao Ma, Northwestern Polytechnical Univ. (China)
Chongyang Hao, Northwestern Polytechnical Univ. (China)
Hongpeng Tian, Xi'an Univ. of Science and Technology (China)

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