The Restoration of Textured Images Using Fractional-Order Regularization
Joint Authors
Zhang, Yi
Zhou, Jiliu
Fu, Ying
Li, Xiaohua
Liang, Lei
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Image restoration problem is ill-posed, so most image restoration algorithms exploit sparse prior in gradient domain to regularize it to yield high-quality results, reconstructing an image with piecewise smooth characteristics.
While sparse gradient prior has good performance in noise removal and edge preservation, it also tends to remove midfrequency component such as texture.
In this paper, we introduce the sparse prior in fractional-order gradient domain as texture-preserving strategy to restore textured images degraded by blur and/or noise.
And we solve the unknown variables in the proposed model using method based on half-quadratic splitting by minimizing the nonconvex energy functional.
Numerical experiments show our algorithm's robust outperformance.
American Psychological Association (APA)
Fu, Ying& Li, Xiaohua& Liang, Lei& Zhang, Yi& Zhou, Jiliu. 2014. The Restoration of Textured Images Using Fractional-Order Regularization. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-465461
Modern Language Association (MLA)
Fu, Ying…[et al.]. The Restoration of Textured Images Using Fractional-Order Regularization. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-465461
American Medical Association (AMA)
Fu, Ying& Li, Xiaohua& Liang, Lei& Zhang, Yi& Zhou, Jiliu. The Restoration of Textured Images Using Fractional-Order Regularization. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-465461
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465461