0423186 20240103203700.520140207235959.9 1 s. cav_un_epca*0424930BrnoSignal Processing Laboratory2013 JPEG decompression image restoration image processing cav_un_auth*0108377 Šorel Michal Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. JPEG decompression can be formulated as a probabilistic problem and solved in the standard way using the Bayesian approach. The choice of image prior probability distribution influences complexity of the corresponding minimization problem. In this talk we show how a convenient form of this prior allows for efficient solution by a primal-dual method. cav_un_auth*0299361 3rd SPLab Workshop 2013 Brno 2013 CZ 2014 JD ZP RVO:67985556 http://hdl.handle.net/11104/0230916 S 2013 cav_un_epca*0424930 Proceedings of the 3rd SPLab Workshop 2013 Brno Signal Processing Laboratory 2013