Open Access Open Access  Restricted Access Subscription or Fee Access

Motion Blurred Images Restoration Based On Sparse Regularization

Lei Li, Jiang Ming Kan, YeXiao Wu, WenBin Li


Motion blurred images restoration is an unavoidable problem in computer vision application area. A method of motion blurred images restoration based on sparse regularization is proposed in this paper. Original image, constructed original image with sparse characteristic of motion fuzzy kernel of wavelet frame transform and regularization term of motion fuzzy kernel are used in this method. The blind deconvolution problem of motion blurred image restoration is simplified to two non-blind deconvolution minimum problems with this method, and Bregman iteration method is finally adopted to solve these two minimum problems. Experiments are conducted on blurred image with uniform linear motion, uniform curvilinear motion and arbitrary curvilinear motion. It shows that the satisfactory result is achieved with the proposed method, and its structural similarity index is better than the algorithm proposed by Fergus and Shan.


Image deblurring; blind deconvolution; regularization method; sparse prior..

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.