Title :
A hybrid alternating proximal method for blind video restoration
Author :
Abboud, F. ; Chouzenoux, Emilie ; Pesquet, J.-C. ; Chenot, J.-H. ; Laborelli, L.
Author_Institution :
LIGM, Univ. Paris-Est, Champs-sur-Marne, France
Abstract :
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.
Keywords :
deconvolution; image restoration; image sequences; blind deconvolution algorithm; blind video restoration; edge-preserving regularization; hybrid alternating proximal method; optical flow operators; penalty function; temporal continuity; video sequences; Convergence; Deconvolution; Image restoration; Kernel; Minimization; Optimization; Video sequences; Blind deconvolution; convex optimization; optical flow; proximal algorithms; regularization; video processing;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Conference_Location :
Lisbon