Detail publikace
Application for Objective Image Quality Metric Performance Comparison and Demonstration
SLANINA, M. PROKOPEC, J. JANÍČEK, M.
Originální název
Application for Objective Image Quality Metric Performance Comparison and Demonstration
Český název
Application for Objective Image Quality Metric Performance Comparison and Demonstration
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
cs
Originální abstrakt
The paper describes a software, which was designed and implemented at our department. The sofware is capable of illustratively comparing different objective image quality metrics. For such comparison and evaluation, a database containing images subject to different types of distortion is used. The benchmark criterion for each of the respective objective metrics is the correlation with objective test scores. As the software is module-based, it can easily be extended to implement more objective metrics.
Český abstrakt
The paper describes a software, which was designed and implemented at our department. The sofware is capable of illustratively comparing different objective image quality metrics. For such comparison and evaluation, a database containing images subject to different types of distortion is used. The benchmark criterion for each of the respective objective metrics is the correlation with objective test scores. As the software is module-based, it can easily be extended to implement more objective metrics.
Klíčová slova
image quality, human visual system, PSNR, SSIM
Rok RIV
2007
Vydáno
24.09.2007
Nakladatel
Slovenia Section IEEE
Místo
Portorož, Slovenia
Strany od
203
Strany do
206
Strany počet
4
Dokumenty
BibTex
@inproceedings{BUT23010,
author="Martin {Slanina} and Jan {Prokopec} and Marek {Janíček}",
title="Application for Objective Image Quality Metric Performance Comparison and Demonstration",
annote="The paper describes a software, which was designed and implemented at our department. The sofware is capable of illustratively comparing different objective image quality metrics. For such comparison and evaluation, a database containing images subject to different types of distortion is used. The benchmark criterion for each of the respective objective metrics is the correlation with objective test scores. As the software is module-based, it can easily be extended to implement more objective metrics.",
address="Slovenia Section IEEE",
booktitle="Proceedings of the Sixteenth International Electrotechnial and Computer Science Conference ERK 2007. Volume B, ISSN 1581-4572",
chapter="23010",
institution="Slovenia Section IEEE",
year="2007",
month="september",
pages="203--206",
publisher="Slovenia Section IEEE",
type="conference paper"
}