IRCCyN/IVC Eye-tracking saliency maps and importance maps for blurred images

Author: IRCCyN/IVC

Partner: Yes





Total: 72

SRC: 12

HRC: 6

Ratings: 18

Resolution: 481x321


This image database contains 72 images. There are 6 versions of each still image content. The original added to 5 power of blur. The 12 original images come from the Berkeley Segmentation Dataset as specified in our paper. The database was created to evaluate a no-reference metric that quantifies perceived image quality induced by blur.


Database at FTP, no password. Link:

References and Citation

Please, cite the following paper in your reference if you use this database for your work [LWR11].


  • LWR11: H. Liu, J. Wang, J. Redi, P. Le Callet, H. Ingrid. An efficient no-reference metric for perceived blur, 2011 3rd European Workshop on Visual Information Processing (EUVIP), Jun 2011, Paris, France.