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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