期刊论文

Yang Bin

英文

International Journal of Wavelets, Multiresolution and Information Processing

0219-6913

2016

14

4

1650024

10.1142/S0219691316500247

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61102108]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [11C1101, YB2013B039, 12A115]; Young talents program of the University of South China; construct program of key disciplines in USC [NHXK04]

本校为第一且通讯机构

In this paper, an efficient approximate sparse representation (SR) algorithm with multi-selection strategy is used to solve the image fusion problem. We have shown that the approximate SR is effective for image fusion even if the sparse coefficients are not the sparsest ones possible. A multi-selection strategy is used to accelerate the process of generating the approximate sparse coefficients which are used to guide the fusion of image patches. The relative parameters are also investigated experimentally to further reduce the computational tim...