0450671 20240103211222.220151120235959.9 84925617936 000353135300007 10.1117/12.2077158 12 s. C cav_un_epca*0445084978-1-62841-494-30277-786XBellinghamSPIE-IS&T2015 image blind deconvolution image deblurring blur estimation pixel saturation boundary artifacts cav_un_auth*0293863 Kotera Jan 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. cav_un_auth*0101209 Šroubek Filip 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. http://library.utia.cas.cz/separaty/2015/ZOI/kotera-0450671.pdf 938213/2013 GA UK CZ cav_un_auth*0302211 M100751201 GA AV ČR CZ cav_un_auth*0289164 Single image blind deconvolution aims to estimate the unknown blur from a single observed blurred image and recover the original sharp image. Such task is severely ill-posed and typical approaches involve some heuristic or other steps without clear mathematical explanation to arrive at an acceptable solution. We show that a straight- forward maximum a posteriori estimation incorporating sparse priors and mechanism to deal with boundary artifacts, combined with an efficient numerical method can produce results which compete with or outperform much more complicated state-of-the-art methods. Our method is naturally extended to deal with overexposure in low-light photography, where linear blurring model is violated. cav_un_auth*0316974 Digital Photography and Mobile Imaging XI San Francisco 09.02.2015-10.02.2015 US 2016 JD 2 PR RVO:67985556 http://hdl.handle.net/11104/0251952 1 S 0.223 Q4 2015 84925617936 SCOPUS 000353135300007 WOS cav_un_epca*0445084 Digital Photography XI 978-1-62841-494-3 0277-786X 94040B Bellingham SPIE-IS&T 2015 SPIE Proceedings 9404