Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Nonlocal total variation (TV) regularization (Gilboa and Osher in Multiscale Model Simulat 7(3): 1005---1028, 2008; Zhou and Scholkopf in Pattern recognition, proceedings of the 27th DAGM symposium. Springer, Berlin, pp 361---368, 2005) has been widely used for the natural image processing, since it is able to preserve repetitive textures and details of images. Hover, its applications have been limited in practice, due to the high computational cost for large scale problems. ,  apply domain decomposition methods (DDMs) (Xu et al. in Inverse Probl Imag 4(3):523---545, 2010) to the nonlocal TV image restoration. By DDMs, the original problem is decomposed into much smaller subproblems defined on subdomains. Each subproblem can be efficiently solved by the split Bregman algorithm and Bregmanized operator splitting algorithm in Zhang et al. (SIAM J Imaging Sci 3(3):253---276, 2010). Furthermore, by using coloring technique on the domain decomposition, all subproblems defined on subdomains with same colors can be computed in parallel. Our numerical examples demonstrate that the proposed methods can efficiently solve the nonlocal TV based image restoration problems, such as denoising, deblurring and inpainting. It can be computed in parallel with a considerable speedup ratio and speedup efficiency.
['Huibin Chang', 'Xiaoqun Zhang', 'Xue-Cheng Tai', 'Danping Yang']
I am writing a research paper on a idea Domain Decomposition Methods for Nonlocal Total Variation Image Restoration
[{"from": "human", "value": "I am writing a research paper on a idea Domain Decomposition Methods for Nonlocal Total Variation Image Restoration"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Nonlocal total variation (TV) regularization (Gilboa and Osher in Multiscale Model Simulat 7(3): 1005---1028, 2008; Zhou and Scholkopf in Pattern recognition, proceedings of the 27th DAGM symposium. Springer, Berlin, pp 361---368, 2005) has been widely used for the natural image processing, since it is able to preserve repetitive textures and details of images. Hover, its applications have been limited in practice, due to the high computational cost for large scale problems. ,  apply domain decomposition methods (DDMs) (Xu et al. in Inverse Probl Imag 4(3):523---545, 2010) to the nonlocal TV image restoration. By DDMs, the original problem is decomposed into much smaller subproblems defined on subdomains. Each subproblem can be efficiently solved by the split Bregman algorithm and Bregmanized operator splitting algorithm in Zhang et al. (SIAM J Imaging Sci 3(3):253---276, 2010). Furthermore, by using coloring technique on the domain decomposition, all subproblems defined on subdomains with same colors can be computed in parallel. Our numerical examples demonstrate that the proposed methods can efficiently solve the nonlocal TV based image restoration problems, such as denoising, deblurring and inpainting. It can be computed in parallel with a considerable speedup ratio and speedup efficiency."}]