Author(s)

Chao Wang, Rui Yuan^*, Yuqiu Sun, Yuanxiang Jiang, Changsheng Chen, Xiangliang Lin

School of Information and Mathematics, Yangtze University, Jingzhou, China.

Considering the continuous advancement in the field of imaging sensor, a host of other new issues have emerged. A major problem is how to find focus areas more accurately for multi-focus image fusion. The multi-focus image fusion extracts the focused information from the source images to construct a global in-focus image which includes more information than any of the source images. In this paper, a novel multi-focus image fusion based on Laplacian operator and region optimization is proposed. The evaluation of image saliency based on Laplacian operator can easily distinguish the focus region and out of focus region. And the decision map obtained by Laplacian operator processing has less the residual information than other methods. For getting precise decision map, focus area and edge optimization based on regional connectivity and edge detection have been taken. Finally, the original images are fused through the decision map. Experimental results indicate that the proposed algorithm outperforms the other series of algorithms in terms of both subjective and objective evaluations.

Image Fusion, Laplacian Operator, Multi-Focus, Region Optimization

Wang, C. , Yuan, R. , Sun, Y. , Jiang, Y. , Chen, C. and Lin, X. (2018) A New Method of Multi-Focus Image Fusion Using Laplacian Operator and Region Optimization. Journal of Computer and Communications, 6, 106-118. doi: 10.4236/jcc.2018.65009.