Paper
14 March 2013 Quantifying image quality in graphics: perspective on subjective and objective metrics and their performance
Author Affiliations +
Proceedings Volume 8651, Human Vision and Electronic Imaging XVIII; 86510K (2013) https://doi.org/10.1117/12.2008369
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
Abstract
We explore three problems related to quality assessment in computer graphics: the design of efficient user studies; the scene-referred metrics for comparing high-dynamic-range images; and the comparison of metric performance for the database of computer graphics distortions. This paper summarizes the most important observations from investigating these problems and gives a high level perspective on the problem of quality assessment in graphics.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rafał K. Mantiuk "Quantifying image quality in graphics: perspective on subjective and objective metrics and their performance", Proc. SPIE 8651, Human Vision and Electronic Imaging XVIII, 86510K (14 March 2013); https://doi.org/10.1117/12.2008369
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Image quality

Visualization

Data modeling

Visual process modeling

High dynamic range imaging

Computer graphics

Visibility

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