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

Redi, Judith, Liu, Hantao ORCID: https://orcid.org/0000-0003-4544-3481, Gastaldo, Paolo, Zunino, Rodolfo and Heynderickx, Ingrid 2010. How to apply spatial saliency into objective metrics for JPEG compressed images? Presented at: 2009 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7 - 10 November 2009. 2009 16th IEEE International Conference on Image Processing (ICIP) Proceedings. IEEE, 10.1109/ICIP.2009.5414035

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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

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	IEEE
ISBN:	978-1-4244-5653-6
Last Modified:	25 Oct 2022 13:07
URI:	https://orca.cardiff.ac.uk/id/eprint/118927

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