A technique for image quality assessment based on a human visual system model

Wilfried Osberger, Anthony Maeder, Neil Bergmann

Research output: Contribution to journalConference article

7 Citations (Scopus)

Abstract

This paper describes an objective quality measure for compressed pictures based on a model of the human visual system (HVS). The structure of natural images and of the coding errors introduced by compression schemes is taken into consideration when determining appropriate HVS parameters. Higher level perceptual factors are also taken into account through the use of Importance Maps. This allows a weighting of the visible errors, since errors occurring in regions of high visual importance have a greater effect on our overall perception of picture quality than those in lower importance regions. The results show the improved predictions achieved by this technique, in particular for images coded with spatially varying quality.

Original languageEnglish
JournalEuropean Signal Processing Conference
Volume1998-January
Publication statusPublished - 1998
Externally publishedYes
Event9th European Signal Processing Conference, EUSIPCO 1998 - Island of Rhodes, Greece
Duration: 8 Sep 199811 Sep 1998

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