0508120 20240111141023.520190909235959.9 85075611022 10.23919/EUSIPCO.2019.8903114 Iterative Wiener Filtering for Deconvolution with Ringing Artifact Suppression 5 s. E cav_un_epca*0508119978-9-0827-9702-22076-1465Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019)1159-1163PiscatawayIEEE2019 Wiener filter LMMSE deconvolution total variation ADMM non-smooth optimization 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. cav_un_auth*0379363 Kerepecký Tomáš 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. cav_un_auth*0213251 Kamenický Jan 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/2019/ZOI/sroubek-0508120.pdf 607KB GA18-05360S GA ČR cav_un_auth*0361425 AP1701 AV ČR CZ cav_un_auth*0289546 Sensor and lens blur degrade images acquired by digital cameras. Simple and fast removal of blur using linear filtering, such as Wiener filter, produces results that are not acceptable in most of the cases due to ringing artifacts close to image borders and around edges in the image. We have developed deconvolution algorithm with ringing artifact suppression implemented with simple filtering and element-wise softthresholding. cav_un_auth*0379364 European Signal Processing Conference (EUSIPCO 2019) /27./ 20190902 20190906 A Coruna ES JD 20000 20200 20206 2020 3 PR RVO:67985556 http://hdl.handle.net/11104/0299779 S 2019 85075611022 SCOPUS PUBMED WOS pdf 607KB cav_un_epca*0508119 Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019) 978-9-0827-9702-2 2076-1465 1159 1163 Piscataway IEEE 2019