A no-reference perceptual image sharpness metric based on saliency-weighted foveal pooling

Nabil G. Sadaka, Lina Karam, Rony Ferzli, Glen P. Abousleman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

63 Scopus citations

Abstract

A no-reference perceptual sharpness quality metric, inspired by visual attention information, is presented for a better simulation of the Human Visual System (HVS) response to blur distortions. Saliency information about a scene is used to accentuate blur distortions around edges present in conspicuous areas and attenuate those distortions present in the rest of the image. Simulation results are presented to illustrate the performance of the proposed metric.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages369-372
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period10/12/0810/15/08

Keywords

  • Image quality
  • No-reference
  • Objective
  • Sharpness metric
  • Visual attention

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Sadaka, N. G., Karam, L., Ferzli, R., & Abousleman, G. P. (2008). A no-reference perceptual image sharpness metric based on saliency-weighted foveal pooling. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings (pp. 369-372). [4711768] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2008.4711768