Number of the records: 1
Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods
- 1.0559599 - ÚTIA 2023 RIV UY eng J - Journal Article
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
R&D Projects: GA ČR GA20-27939S
Institutional support: RVO:67985556
Keywords : image restoration * non-circulant deconvolution * maximum likelihood interpolation * model discrepancies * missing samples
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 1, year: 2022
Method of publishing: 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.
Permanent Link: https://hdl.handle.net/11104/0333417
Number of the records: 1