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

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

17 Citaten (Scopus)

Samenvatting

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.
Originele taal-2Engels
Titel2009 16th IEEE International Conference on Image Processing (ICIP), 7-12 November 2009, Cairo
UitgeverijIEEE Computer Society
Pagina's961-964
Aantal pagina's4
ISBN van geprinte versie9781424456543
DOI's
StatusGepubliceerd - 1 jan 2009
Evenement2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypte
Duur: 7 nov 200910 nov 2009

Congres

Congres2009 IEEE International Conference on Image Processing, ICIP 2009
LandEgypte
StadCairo
Periode7/11/0910/11/09

Vingerafdruk Duik in de onderzoeksthema's van 'How to apply spatial saliency into objective metrics for JPEG compressed images?'. Samen vormen ze een unieke vingerafdruk.

Citeer dit