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Restoration of retinal images with space-variant blur

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00424586" target="_blank" >RIV/67985556:_____/14:00424586 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1117/1.JBO.19.1.016023" target="_blank" >http://dx.doi.org/10.1117/1.JBO.19.1.016023</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1117/1.JBO.19.1.016023" target="_blank" >10.1117/1.JBO.19.1.016023</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Restoration of retinal images with space-variant blur

  • Original language description

    Retinal images are essential clinical resources for the diagnosis of retinopathy and many other ocular diseases. Because of improper acquisition conditions or inherent optical aberrations in the eye, the images are often degraded with blur. In many common cases, the blur varies across the field of view. Most image deblurring algorithms assume a space-invariant blur, which fails in the presence of space-variant (SV) blur. In this work, we propose an innovative strategy for the restoration of retinal images in which we consider the blur to be both unknown and SV. We model the blur by a linear operation interpreted as a convolution with a point-spread function (PSF) that changes with the position in the image. To achieve an artifact-free restoration, we propose a framework for a robust estimation of the SV PSF based on an eye-domain knowledge strategy. The restoration method was tested on artificially and naturally degraded retinal images. The results show an important enhance- ment, sign

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-29225S" target="_blank" >GA13-29225S: Image Blind Deconvolution in Demanding Conditions</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Biomedical Optics

  • ISSN

    1083-3668

  • e-ISSN

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

    016023-1-016023-12

  • UT code for WoS article

    000331892700055

  • EID of the result in the Scopus database