Regular Articles

Novel focus region detection method for multifocus image fusion using quaternion wavelet

[+] Author Affiliations
Yipeng Liu

Harbin Institute of Technology, Department of Control Science and Engineering, Room 602, Main Building, 92 West Dazhi Street, Nangang District, Harbin 150001, China

Jing Jin

Harbin Institute of Technology, Department of Control Science and Engineering, Room 602, Main Building, 92 West Dazhi Street, Nangang District, Harbin 150001, China

Qiang Wang

Harbin Institute of Technology, Department of Control Science and Engineering, Room 602, Main Building, 92 West Dazhi Street, Nangang District, Harbin 150001, China

Yi Shen

Harbin Institute of Technology, Department of Control Science and Engineering, Room 602, Main Building, 92 West Dazhi Street, Nangang District, Harbin 150001, China

Xiaoqiu Dong

Harbin Medical University, Fourth Affiliated Hospital, 37 Yi Yuan Street, Nangang District, Harbin 150001, China

J. Electron. Imaging. 22(2), 023017 (May 29, 2013). doi:10.1117/1.JEI.22.2.023017
History: Received February 4, 2013; Revised April 13, 2013; Accepted May 1, 2013
Text Size: A A A

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.

© 2013 SPIE and IS&T

Citation

Yipeng Liu ; Jing Jin ; Qiang Wang ; Yi Shen and Xiaoqiu Dong
"Novel focus region detection method for multifocus image fusion using quaternion wavelet", J. Electron. Imaging. 22(2), 023017 (May 29, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.2.023017


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.