Single-Image Motion Deblurring Using Normalized Nonlinear Diffusion Regularization
Guodong Wang, Zhenkuan Pan, Jie Jeff Xu, Qian Dong, Shixiu Zheng · 2013
Motion deblur is a very hot and hard research topic currently because it is an ill-posed problem. In this paper, we proposed using normalized nonlinear diffusion regularization for motion deblurring. To reduce the complexity of solving the deblurring equation, a fast method called Split method is used. Because the result derived from the energy function give the lowest cost, our method doesn't need any auxiliary method for solving the energy function besides multiscale implementation. Using the estimated kernel, the final clear image can be got by total variation method. Experiments demonstrate the validity of the proposed method.