[hal-01077269] A hybrid alternating proximal method for blind video restoration

Old analog television sequences suffer from a number of degradations Some of them can be modeled through convolution with a kernel and an additive noise term In this work we propose a new blind deconvolution algorithm for the restoration of such sequences based on a variational formulation of the problem Our method accounts for motion between frames while enforcing some level of temporal continuity through the use of a novel penalty function involving optical flow operators in addition to an edge-preserving regularization The optimization process is performed by a proximal alternating minimization scheme benefiting from theoretical convergence guarantees Simulation results on synthetic and real video sequences confirm the effectiveness of our method



from HAL : Dernières publications http://ift.tt/12pp6hg