Full-reference metrics multidistortional analysis

Oleg Ieremeiev, Vladimir Lukin, Nikolay Ponomarenko, Karen Egiazarian

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    2 Citations (Scopus)

    Abstract

    This paper is devoted to analysis and further improvement of full-reference metrics of image visual quality. The effectiveness of a metric is characterized by the rank correlation factors between the obtained array of mean opinion scores (MOS) and the corresponding array of given metric values. This allows to determine the correspondence of a considered metric to a human visual system (HVS). Results obtained on the database TID2013 show that Spearman correlation for the best existing metrics (PSNRHMA, FSIM, SFF, etc.) does not exceed 0.85. In this paper, extended verification tools that allow to detect the shortcomings of the metrics taking into account combined distortions is proposed. An example for further improvement of the PSNRHMA metric is presented.

    Original languageEnglish
    Title of host publicationImage Processing: Algorithms and Systems XV
    Pages27-35
    Number of pages9
    DOIs
    Publication statusPublished - 2017
    Publication typeA4 Article in a conference publication
    EventIS&T International Symposium on Electronic Imaging -
    Duration: 1 Jan 2000 → …

    Publication series

    NameElectronic Imaging
    ISSN (Print)2470-1173

    Conference

    ConferenceIS&T International Symposium on Electronic Imaging
    Period1/01/00 → …

    Keywords

    • Full-reference metrics
    • Image visual quality assessment
    • Metrics analysis
    • Metrics verification
    • Multiple distortions

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Science Applications
    • Human-Computer Interaction
    • Software
    • Electrical and Electronic Engineering
    • Atomic and Molecular Physics, and Optics

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