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Journal of Electronic Imaging

Novel focus region detection method for multifocus image fusion using quaternion wavelet
Author(s): Yipeng Liu; Jing Jin; Qiang Wang; Yi Shen; Xiaoqiu Dong
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Paper Abstract

For local smooth regions in multifocus images, it is difficult to judge whether they are in focus or not, whether using human eyes or special focus measures. We propose to classify the images into smooth and nonsmooth regions based on structural similarity index. Quaternion wavelet transform (QWT), as a novel tool of image analysis, has some superior properties compared to discrete wavelet transform, such as nearly shift-invariant wavelet coefficients and phase-based texture representation. We use the local variance of the QWT phases to detect the focus position for the pixels belonging to the nonsmooth image regions. Thus, binary images of the left-focus, right-focus, and smooth region, e.g., there are two different focuses, are obtained. Then, the connected components labeling algorithm is exploited to label the two binary images containing the focus position information, and the regions with focus measure errors are transferred between the two binary images. The fusion result is finally acquired through three weighted binary images combined with the original multifocus images. Furthermore, we conduct several experiments to verify the feasibility of the proposed fusion method. The performance is demonstrated to be superior to current methods.

Paper Details

Date Published: 29 May 2013
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J. Electron. Imaging. 22(2) 023017 doi: 10.1117/1.JEI.22.2.023017
Published in: Journal of Electronic Imaging Volume 22, Issue 2
Show Author Affiliations
Yipeng Liu, Harbin Institute of Technology (China)
Jing Jin, Harbin Institute of Technology (China)
Qiang Wang, Harbin Institute of Technology (China)
Yi Shen, Harbin Institute of Technology (China)
Xiaoqiu Dong, Harbin Medical Univ. (China)


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