0537610 20250121152811.020210115235959.9 85110481971 000681331400090 10.1109/ICPR48806.2021.9413121 8 s. E cav_un_epca*0537613978-172818808-91051-46518283-8290PiscatawayIEEE2021 demosaicking deblurring deringing ADMM CNN cav_un_auth*0379363 Kerepecký Tomáš UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101209 Šroubek Filip UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2021/ZOI/kerepecky-0537610.pdf 9.2MB GA20-27939S GA ČR cav_un_auth*0391986 AP1701 AV ČR CZ cav_un_auth*0349658 We have proposed a light-weight neural network architecture D3Net for joint demosaicking, deblurring and deringing by unrolling the ADMM optimization method. cav_un_auth*0402697 2021 25th International Conference on Pattern Recognition (ICPR) 20210110 20210115 Milan IT JD 20000 20200 20204 2022 2 PR RVO:67985556 http://hdl.handle.net/11104/0316066 S 127 0.453 1.06 2210 Q4 2021 85110481971 SCOPUS PUBMED 000681331400090 WOS pdf 9.2MB cav_un_epca*0537613 2021 25th International Conference on Pattern Recognition (ICPR) IEEE 2021 Piscataway 8283 8290 978-172818808-9 1051-4651