期刊
SIGNAL PROCESSING
卷 97, 期 -, 页码 9-30出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sigpro.2013.10.010
关键词
Multifocus image fusion; Focus region detection; Quaternion wavelet; Normalized cut; Spatial frequency; Structural similarity
资金
- National Basic Research Program of China (973 Program) [2012CB720000]
- National Natural Science Foundation of China [60901043, 61201307]
- Innovation Funds of Harbin Institute of Technology [IDGA18102011]
- Chinese Scholarship Council
Region level based methods are popular in recent years for multifocus image fusion as they are the most direct fusion ways. However, the fusion result is not ideal due to the difficulty in focus region segmentation. In this paper, we propose a novel region level based multifocus image fusion method that can locate the boundary of the focus region accurately. As a novel tool of image analysis, phases in the quaternion wavelet transform (QWT) are capable of representing the texture information in the image. We use the local variance of the phases to detect the focus or defocus for every pixel initially. Then, we segment the focus detection result by the normalized cut to remove detection errors, thus initial fusion result is acquired through copying from source images according to the focus detection results. Next, we compare initial fusion result with spatial frequency weighted fusion result to accurately locate the boundary of the focus region by structural similarity. Finally, the fusion result is obtained using spatial frequency as fusion weight along the boundary of the focus region. Furthermore, we conduct several experiments to verify the feasibility of the fusion framework. The proposed algorithm is demonstrated superior to the reference methods. Crown Copyright (C) 2013 Published by Elsevier B.V. All rights reserved.
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