doi: 10.4304/jsw.9.4.1050-1054
An Objective Quality Metric for Image Fusion based on Mutual Information and Muti-scale Structural Similarity
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)
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)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
INSPEC(IET), ULRICH's Periodicals
Directory, WorldCat, etcE-mail: jsweditorialoffice@gmail.com
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