Refined exponential filter with applications to image restoration and interpolation

Authors:
Yanlin Geng;Tong Lin;Zhouchen Lin;Pengwei Hao
Affiliations:
Center for Information Science, Peking Univ., Beijing, China;Center for Information Science, Peking Univ., Beijing, China;Microsoft Research Asia, Beijing, China;Center for Information Science, Peking Univ., Beijing, China
Venue:
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Year:
2009

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Abstract

Ill-posed linear equations are pervasive in computer vision A popular way to solve an ill-posed problem is regularization In this paper, we propose a new criterion for designing the regularizing filter This criterion reveals the implicit assumption made by regularizing filters Then with the help of the discrete Picard condition, we refine the exponential filter using our criterion The effectiveness of our method is demonstrated on image restoration and interpolation.