An Adaptive Correlated Image Prior for Image Restoration Problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00490175" target="_blank" >RIV/67985556:_____/18:00490175 - isvavai.cz</a>
Alternative codes found
RIV/49777513:23220/18:43951319
Result on the web
<a href="http://dx.doi.org/10.1109/LSP.2018.2836964" target="_blank" >http://dx.doi.org/10.1109/LSP.2018.2836964</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LSP.2018.2836964" target="_blank" >10.1109/LSP.2018.2836964</a>
Alternative languages
Result language
angličtina
Original language name
An Adaptive Correlated Image Prior for Image Restoration Problems
Original language description
Image restoration is typically defined as an ill-posed problem which has to be regularized to obtain an acceptable solution. In Bayesian interpretation, regularization is equivalent to prior model of the image. An added value of Bayesian point of view is the ability to form a hierarchical model and estimate the hyper-parameters of the prior from the data. Many prior models are available, usually based on automatic relevance determination principle applied to the transformed image. However, the transformation (the most common is a differential operator) is assumed to be known. In this paper, we propose to relax this assumption and estimate the image transformation from the data. The resulting algorithm is analytically tractable using the Variational Bayes method. Properties of the new prior are demonstrated on the problem of image super-resolution.n
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Signal Processing Letters
ISSN
1070-9908
e-ISSN
—
Volume of the periodical
25
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
5
Pages from-to
1024-1028
UT code for WoS article
000434450200004
EID of the result in the Scopus database
2-s2.0-85047017461