The purpose of this page is to make available the subjective quality assessment IRCCyN/IVC database. The experiments were conducted in our lab in normalized conditions.
Content
10 original images were used, 235 distorted images were generated from 4 different processing:
- JPEG ;
- JPEG2000 ;
- LAR coding ;
- Blurring.
These algorithms have the advantage to generate very different type of distortions. Subjective evaluations were made at viewing distance of 6 times the screen height using a DSIS (Double Stimulus Impairment Scale) method with 5 categories and 15 observers. Distortions for each processing and each image have been optimised in order to uniformly cover the subjective scale.
Download
Download the IVC database (116 MB zip file)
A Microsoft Excel worksheet, giving all subjective quality scores is included in the above archive.
How to cite the IVC database
If you use BibTeX, here's the citation:
@misc{ivcdb,
title = {Subjective quality assessment IRCCyN/IVC database},
author = {Le Callet, Patrick and Autrusseau, Florent},
year = {2005},
note = {http://www.irccyn.ec-nantes.fr/ivcdb/}
}
If you don't use BibTeX, use simply:
Patrick Le Callet, Florent Autrusseau Subjective quality assessment IRCCyN/IVC database http://www.irccyn.ec-nantes.fr/ivcdb/
Dissemination
This database was used in
- Alexandre Ninassi, Patrick Le Callet, Florent Autrusseau, "Pseudo No Reference image quality metric using perceptual data hiding", in SPIE Human Vision and Electronic Imaging, vol. 6057-08, San Jose, CA, USA, January 2006.