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Zbl 1172.94316
Huang, Yumei; Ng, Michael K.; Wen, You-Wei
A fast total variation minimization method for image restoration. (English)
[J] Multiscale Model. Simul. 7, No. 2, 774-795 (2008). ISSN 1540-3459; ISSN 1540-3467/e

Summary: We study a fast total variation minimization method for image restoration. In the proposed method, we use the modified total variation minimization scheme to denoise the deblurred image. An alternating minimization algorithm is employed to solve the proposed total variation minimization problem. Our experimental results show that the quality of restored images by the proposed method is competitive with those restored by the existing total variation restoration methods. We show the convergence of the alternating minimization algorithm and demonstrate that the algorithm is very efficient.

MSC 2000:: *94A08 Image processing
65F10 Iterative methods for linear systems
65F22 Ill-posedness, regularization
65K10 Optimization techniques (numerical methods)

Keywords: image restoration; deblurring; denoising; total variation

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