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Analysis of HVS-metrics’ properties using color image database TID2013

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

Details

Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems
Subtitle of host publication16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings
PublisherSpringer Verlag
Pages613-624
Number of pages12
ISBN (Electronic)978-3-319-25903-1
ISBN (Print)978-3-319-25902-4
DOIs
Publication statusPublished - 2015
Publication typeA4 Article in a conference publication
EventAdvanced Concepts for Intelligent Vision Systems -
Duration: 1 Jan 1900 → …

Publication series

NameLecture Notes in Computer Science
Volume9386
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceAdvanced Concepts for Intelligent Vision Systems
Period1/01/00 → …

Abstract

Various full-reference (FR) image quality metrics (indices) that take into account peculiarities of human vision system (HVS) have been proposed during last decade. Most of them have been already tested on several image databases including TID2013, a recently proposed database of distorted color images. Metrics performance is usually characterized by the rank order correlation coefficients of the considered metric and a mean opinion score (MOS). In this paper, we characterize HVS-metrics from another practically important viewpoint. We determine and analyze image statistics such as mean and standard deviation for several state of the art quality metrics on classes of images with multiple or particular types of distortions. This allows setting threshold value(s) for a given metric and application.

Keywords

  • Color image database, Full reference metrics, Mean opinion score, Threshold values, Visual quality

Publication forum classification

Field of science, Statistics Finland