Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods

0559599 - ÚTIA 2023 RIV UY eng J - Článek v odborném periodiku
Dong, Ch. - Šroubek, Filip - Portilla, J.
Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods.
Image Processing On Line. Roč. 12, č. 1 (2022), s. 218-246. ISSN 2105-1232
Grant CEP: GA ČR GA20-27939S
Institucionální podpora: RVO:67985556
Klíčová slova: image restoration * non-circulant deconvolution * maximum likelihood interpolation * model discrepancies * missing samples
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 1, rok: 2022
Způsob publikování: Open access
http://library.utia.cas.cz/separaty/2022/ZOI/sroubek-0559599.pdf https://doi.org/10.5201/ipol.2022.385

We present spectral pre-adaptation that pre-processes blurred images so they can be restored using fast standard deconvolution algorithms suitable for simplified models.
Trvalý link: https://hdl.handle.net/11104/0333417