How to apply spatial saliency into objective metrics for JPEG compressed images?

Judith Redi, Hantao Liu, Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

17 Citations (Scopus)

Abstract

This paper investigates how saliency obtained from eye-tracking data can be integrated into objective metrics for JPEG compressed images. The objective metrics used in this paper are both based on features, locally extracted from the images and serving as input to a neural network for the overall quality prediction. We compare various weighting functions to combine saliency with these objective metrics, taking into account the possible distraction due to artifacts that might affect the quality judgment. Experimental results indicate that including saliency into objective metrics in an appropriate way can further enhance their performance. ©2009 IEEE.
Original languageEnglish
Title of host publication2009 16th IEEE International Conference on Image Processing (ICIP), 7-12 November 2009, Cairo
PublisherIEEE Computer Society
Pages961-964
Number of pages4
ISBN (Print)9781424456543
DOIs
Publication statusPublished - 1 Jan 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: 7 Nov 200910 Nov 2009

Conference

Conference2009 IEEE International Conference on Image Processing, ICIP 2009
CountryEgypt
CityCairo
Period7/11/0910/11/09

Keywords

  • Image quality assessment
  • Neural networks
  • Objective metric
  • Visual attention

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