Automatic image quality assessment technique incorporating higher level perceptual factors

Wilfried Osberger, Neil Bergmann, Anthony Maeder

Research output: Contribution to conferencePaper

46 Citations (Scopus)

Abstract

We present an objective image quality assessment technique which is based on the properties of the human visual system (HVS). It consists of two major components: an early vision model (multi-channel and designed specifically for complex natural images), and a visual attention model which indicates regions of interest in a scene through the use of Importance Maps. Visible errors are then weighted, depending on the perceptual importance of the region in which they occur. We show that this technique produces a high correlation with subjective test data (0.93), compared to only 0.65 for PSNR. This technique is particularly useful for images coded with spatially varying quality.

Original languageEnglish
Pages414-418
Number of pages5
Publication statusPublished - 1998
Externally publishedYes
EventProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA
Duration: 4 Oct 19987 Oct 1998

Conference

ConferenceProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3)
CityChicago, IL, USA
Period4/10/987/10/98

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    Osberger, W., Bergmann, N., & Maeder, A. (1998). Automatic image quality assessment technique incorporating higher level perceptual factors. 414-418. Paper presented at Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3), Chicago, IL, USA, . https://ieeexplore-ieee-org.ezproxy.flinders.edu.au/document/727227