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Journal of Electronic Imaging

Antiringing image deblurring approach using frequency domain relative error
Author(s): Zhihui Li; Silong Peng; Xiyuan Hu; Xiaojing Xu
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Paper Abstract

To solve the image deblurring problem, most of the recently proposed nonblind deblurring approaches focus on regularizing the solutions by adding image priors, such as sparse prior, piece-wise smooth prior (total-variation prior), and so on. This paper, however, presents a new term, which can be viewed as a supplement to the data fidelity term, to improve the nonblind deblurring result. The new term is based on the relative error in frequency domain (REFD) and can suppress the ringing artifacts and preserve the image details. We analyze the properties of REFD for image deconvolution; then, a nonblind image deconvolution algorithm is proposed via introducing the REFD term into the image deconvolution model. The experimental results demonstrate the performance and efficacy of our proposed algorithm when compared to some other state-of-the-art algorithms.

Paper Details

Date Published: 4 February 2014
PDF: 13 pages
J. Electron. Imaging. 23(1) 013015 doi: 10.1117/1.JEI.23.1.013015
Published in: Journal of Electronic Imaging Volume 23, Issue 1
Show Author Affiliations
Zhihui Li, Institute of Automation (China)
Silong Peng, Institute of Automation (China)
Xiyuan Hu, Institute of Automation (China)
Xiaojing Xu, Institute of Forensic Science (China)


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