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"
}