Title :
Single-Image Motion Deblurring Using Normalized Nonlinear Diffusion Regularization
Author :
Guodong Wang ; Zhenkuan Pan ; Jie Xu ; Qian Dong ; Shixiu Zheng
Author_Institution :
Coll. of Inf. Eng., Qingdao Univ., Qingdao, China
Abstract :
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.
Keywords :
image motion analysis; image restoration; deblurring equation; energy function; kernel estimation; normalized nonlinear diffusion regularization; single-image motion deblurring; split method; total variation method; Deconvolution; Educational institutions; Equations; Graphics; Kernel; Mathematical model; Noise; Motion deblur; Normalized nonlinear diffusion regularization; Split method; Variational method;
Conference_Titel :
Image and Graphics (ICIG), 2013 Seventh International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICIG.2013.28