Image deblurring in video stream based on two-level image model
Arseniy Mukovozov, Dmitry Nikolaev, Elena E. Limonova · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
An iterative algorithm is proposed for blind multi-image deblurring of binary images. The binarity is the only prior restriction imposed on the image. Image formation model assumes convolution with arbitrary kernel and addition of a constant value. Penalty functional is composed using binarity constraint for regularization. The algorithm estimates the original image and distortion parameters by alternate reduction of two parts of this functional. Experimental results for natural (non-synthetic) data are present.