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Can state-of-the-art HVS based objective image quality criteria be used for image reconstruction techniques based on ROI analysis?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00193997" target="_blank" >RIV/68407700:21230/12:00193997 - isvavai.cz</a>

  • Result on the web

    <a href="http://spie.org/x12290.xml" target="_blank" >http://spie.org/x12290.xml</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1117/12.923612" target="_blank" >10.1117/12.923612</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Can state-of-the-art HVS based objective image quality criteria be used for image reconstruction techniques based on ROI analysis?

  • Original language description

    Various image processing techniques in multimedia technology are optimized using visual attention feature of the human visual system. Spatial non-uniformity causes that different locations in an image are of different importance in terms of perception ofthe image. In other words, the perceived image quality depends mainly on the quality of important locations known as regions of interest. The performance of such techniques is measured by subjective evaluation or objective image quality criteria. Many state-of-the-art objective metrics are based on HVS properties; SSIM, MS-SSIM based on image structural information, VIF based on the information that human brain can ideally gain from the reference image or FSIM utilizing the low-level features to assignthe different importance to each location in the image. But still none of these objective metrics utilize the analysis of regions of interest. We solve the question if these objective metrics can be used for effective evaluation of image

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP102%2F10%2F1320" target="_blank" >GAP102/10/1320: Research and modeling of advanced methods of image quality evaluation</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Optics, Photonics, and Digital Technologies for Multimedia Applications II

  • ISBN

    978-0-8194-9128-2

  • ISSN

    0277-786X

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    1-12

  • Publisher name

    SPIE - The International Society for Optical Engineering

  • Place of publication

    Washington

  • Event location

    Brussels

  • Event date

    Apr 16, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000305508300050