Volume 9 Number 4 (Apr. 2014)
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JSW 2014 Vol.9(4): 1050-1054 ISSN: 1796-217X
doi: 10.4304/jsw.9.4.1050-1054

An Objective Quality Metric for Image Fusion based on Mutual Information and Muti-scale Structural Similarity

Chunyan You1, Yong Liu2, Bo Zhao2, Shizhong Yang1
1Center of Communication and Tracking Telemetry Command, Chongqing University, Chongqing, China
2The Office of Academic Affairs of Chongqing Communication Institute, Chongqing, China


Abstract—An objective image quality assessment method for image fusion based on mutual information and multi-scale structural similarity is presented. A simplified formula was deduced to compute the information amount transformed from the source images to the final fused image. With this formula we managed to resolve the overlapping information problem immediately and predigested the calculation extremely. Moreover we adopted the mutual information and the multi-scale structural similarity metric to image fusion schemes, and put forward a novel performance evaluation method without the interference of the reference image. Experimental results show that the proposed metric is well correlated with human subjective evaluations and thus can be used to distinguish the performance of different fusion methods.

Index Terms—Image Quality Assessment (IQA), Image Fusion, Mutual Information (MI), Multi-scale Structural Similarity (MSSSIM)

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Cite: Chunyan You, Yong Liu, Bo Zhao, Shizhong Yang, "An Objective Quality Metric for Image Fusion based on Mutual Information and Muti-scale Structural Similarity," Journal of Software vol. 9, no. 4, pp. 1050-1054, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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