A new constrained total variational deblurring model and its fast algorithm

Williams, Bryan Michael and Chen, Ke and Harding, Simon P. (2015) A new constrained total variational deblurring model and its fast algorithm. Numerical Algorithms, 69 (2). pp. 415-441. ISSN 1017-1398

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Abstract

Although image intensities are non-negative quantities, imposing positivity is not always considered in restoration models due to a lack of simple and robust methods of imposing the constraint. This paper proposes a suitable exponential type transform and applies it to the commonly-used total variation model to achieve implicitly constrained solution (positivity at its lower bound and a prescribed intensity value at the upper bound). Further to establish convergence, a convex model is proposed through a relaxation of the transformed functional. Numerical algorithms are presented to solve the resulting non-linear partial differential equations. Test results show that the proposed method is competitive when compared with existing methods in simple cases and more superior in other cases.

Item Type:
Journal Article
Journal or Publication Title:
Numerical Algorithms
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2604
Subjects:
ID Code:
136989
Deposited By:
Deposited On:
24 Sep 2019 11:40
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 12:15