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Full-reference metrics multidistortional analysis

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

Details

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 → …

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.

Keywords

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

Publication forum classification

Field of science, Statistics Finland