Removing non-uniform camera shake using blind motion deblurring
Jin-Ok Kim, Jongsuk Oh, Rae‐Hong Park · 2016
Images taken in low-light environments are often degraded due to camera shake and pixel saturation. In this paper, a motion deblurring method for non-uniform blur is proposed, in which an optimization problem is formulated using a maximum a posteriori approach. In the final deconvolution process, a modified Richardson-Lucy algorithm with regularization is used to reduce ringing artifacts and noise, in which a saturated pixel is modeled using a clipping function. Experimental results show the effectiveness of the proposed method in terms of removing camera motion blur and suppressing ringing artifacts and noise.