Iterative Wiener Filtering for Deconvolution with Ringing Artifact Suppression

0508120 - ÚTIA 2020 RIV US eng C - Conference Paper (international conference)
Šroubek, Filip - Kerepecký, Tomáš - Kamenický, Jan
Iterative Wiener Filtering for Deconvolution with Ringing Artifact Suppression.
Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019). Piscataway: IEEE, 2019, s. 1159-1163. ISBN 978-9-0827-9702-2. ISSN 2076-1465.
[European Signal Processing Conference (EUSIPCO 2019) /27./. A Coruna (ES), 02.09.2019-06.09.2019]
R&D Projects: GA ČR GA18-05360S
Grant - others:AV ČR(CZ) AP1701
Institutional support: RVO:67985556
Keywords : Wiener filter * LMMSE * deconvolution * total variation * ADMM * non-smooth optimization
OECD category: Computer hardware and architecture
http://library.utia.cas.cz/separaty/2019/ZOI/sroubek-0508120.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0299779