Interframe Motion Deblurring using Spatio-Temporal Regularization

A motion deblurring method with spatio-temporal regularization is presented. In conventional motion deblurring, the best image for each frame is restored individually. The aim of proposed method is that the all frames achieve the same level of smoothness, and an extended total variation is introduced to the deconvolution approach. Our method can be applied to a video clip acquired by handheld camera with camera shakes. Experimental results show that the strongly blurred images are deblurred sufficiently and the temporal change is suppressed.