光电子快报(英文版), 2018, 14 (4): 311, Published Online: Apr. 16, 2019  

Multi-focus image fusion with half weighted gradient and self-similarity

Author Affiliations
1 School of Automation, Northwestern Polytechnical University, Xi’an 710129, China
2 Center for Image and Information Processing, Xi'An University of Posts and Telecommunications, Xi'an 710061, China
Abstract
In order to get a satisfactory image fusion effect, getting a focus map is very necessary and usually difficult to finish. In this paper, we address this problem with a half weighted gradient approach, aiming to obtain a direct mapping be-tween focus map and source images. Based on the advantages of multi-scale weighted gradient, while abandoning the shortcomings of weighted gradient, a new multi-focus image fusion method called half weighted gradient and self-similarity (HWGSS) is proposed. Experimental results validate that the proposed algorithm can obtain state-of-the-art fusion performance in terms of both qualitative and quantitative evaluations.

DU Chao-ben, LIU Ying, GAO She-sheng. Multi-focus image fusion with half weighted gradient and self-similarity[J]. 光电子快报(英文版), 2018, 14(4): 311.

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