A fast total variation minimization method for image restoration. (English) Zbl 1172.94316

Huang, Yumei; Ng, Michael K.; Wen, You-Wei

Multiscale Model. Simul. 7, No. 2, 774-795 (2008).

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:

94A08	Image processing (compression, reconstruction, etc.) in information and communication theory
65F10	Iterative numerical methods for linear systems
65F22	Ill-posedness and regularization problems in numerical linear algebra
65K10	Numerical optimization and variational techniques

Keywords:

image restoration; deblurring; denoising; total variation