Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F22%3A00559599" target="_blank" >RIV/67985556:_____/22:00559599 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5201/ipol.2022.385" target="_blank" >https://doi.org/10.5201/ipol.2022.385</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5201/ipol.2022.385" target="_blank" >10.5201/ipol.2022.385</a>
Alternative languages
Result language
angličtina
Original language name
Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods
Original language description
We present spectral pre-adaptation that pre-processes blurred images so they can be restored using fast standard deconvolution algorithms suitable for simplified models.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA20-27939S" target="_blank" >GA20-27939S: Bayesian methods for non-linear blind inverse problems</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Image Processing On Line
ISSN
2105-1232
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
1
Country of publishing house
UY - URUGUAY
Number of pages
29
Pages from-to
218-246
UT code for WoS article
000827936600001
EID of the result in the Scopus database
2-s2.0-85135334269