Next Article in Journal
Fabrication of Nanocrystalline AlCoCrFeNi High Entropy Alloy through Shock Consolidation and Mechanical Alloying
Previous Article in Journal
Two Tests for Dependence (of Unknown Form) between Time Series
Open AccessCommunication

An Objective Non-Reference Metric Based on Arimoto Entropy for Assessing the Quality of Fused Images

by 1,2,3,*, 1,3,4, 2, 2 and 1,2,3,4,*
1
School of Information engineering, Zhengzhou University, Zhengzhou 450001, China
2
School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
3
Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou 450000, China
4
Research Institute of Industrial Technology, Zhengzhou University, Zhengzhou 450000, China
*
Authors to whom correspondence should be addressed.
Entropy 2019, 21(9), 879; https://doi.org/10.3390/e21090879
Received: 21 July 2019 / Revised: 6 September 2019 / Accepted: 6 September 2019 / Published: 10 September 2019
In the technologies, increasing attention is being paid to image fusion; nevertheless, how to objectively assess the quality of fused images and the performance of different fusion algorithms is of significance. In this paper, we propose a novel objective non-reference measure for evaluating image fusion. This metric employs the properties of Arimoto entropy, which is a generalization of Shannon entropy, measuring the amount of information that the fusion image contains about two input images. Preliminary experiments on multi-focus images and multi-modal images using the average fusion algorithm, contrast pyramid, principal component analysis, laplacian pyramid, guided filtering and discrete cosine transform have been implemented. In addition, a comparison has been conducted with other relevant quality metrics of image fusion such as mutual information, normalized mutual information, Tsallis divergence and the Petrovic measure. The experimental results illustrate that our presented metric correlates better with the subjective criteria of these fused images. View Full-Text
Keywords: Arimoto entropy; fusion metric; multi-focus images; non-reference Arimoto entropy; fusion metric; multi-focus images; non-reference
Show Figures

Figure 1

MDPI and ACS Style

Li, B.; Li, R.; Liu, Z.; Li, C.; Wang, Z. An Objective Non-Reference Metric Based on Arimoto Entropy for Assessing the Quality of Fused Images. Entropy 2019, 21, 879.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop