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Chinese Optics Letters

Chinese Optics Letters


  • Vol. 6, Iss. 6 — Jun. 10, 2008
  • pp: 405–407

Semi-blind image restoration based on Chan-Vese denoising model

Zhifeng Wang and Yandong Tang  »View Author Affiliations

Chinese Optics Letters, Vol. 6, Issue 6, pp. 405-407 (2008)

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A semi-blind image restoration algorithm is proposed based on reduced non-convex approximation of Luminita Vese and Tony Chan's (C-V) denoising model. Compared with C-V denoising model, we modify the fidelity term and add a term on point spread function (PSF). The function depends on two variables: the image function to be restored u and the standard deviation of Gaussian kernel to be estimated σ. Then the problems consist in solving a system with two coupled equations. Compared with the Leah Bar's semi-blind image restoration model which must solve three coupled equations, our method only needs to solve two equations. Furthermore, the estimation of f by our algorithm is superior to Leah Bar's algorithm. The experimental results demonstrate that the proposed method is effective.

© 2008 Chinese Optics Letters

OCIS Codes
(100.1830) Image processing : Deconvolution
(100.3020) Image processing : Image reconstruction-restoration
(100.3190) Image processing : Inverse problems

Zhifeng Wang and Yandong Tang, "Semi-blind image restoration based on Chan-Vese denoising model," Chin. Opt. Lett. 6, 405-407 (2008)

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