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Conference Paper

Extending Quality Metrics to Full Luminance Range Images


Aydin,  Tunc Ozan
Computer Graphics, MPI for Informatics, Max Planck Society;

Mantiuk,  Rafał
Max Planck Society;


Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Aydin, T. O., Mantiuk, R., & Seidel, H.-P. (2008). Extending Quality Metrics to Full Luminance Range Images. In B. E. Rogowitz, & T. N. Pappas (Eds.), Human Vision and Electronic Imaging XIII (pp. 6806B-1-6806B-10). Bellingham, Wash.: SPIE-IS&T.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-1BA3-5
Many quality metrics take as input gamma corrected images and
assume that pixel code values are scaled perceptually uniform.
Although this is a valid assumption for darker displays
operating in the luminance range typical for CRT displays (from 0.1
to 80 $cd/m^2$), it is no longer true for much brighter LCD displays
(typically up to 500 $cd/m^2$), plasma displays (small regions up to
1000 $cd/m^2$) and HDR displays (up to 3000 $cd/m^2$). The
distortions that are barely visible on dark displays become clearly
noticeable when shown on much brighter displays. To estimate quality
of images shown on bright displays, we propose a straightforward
extension to the popular quality metrics, such as PSNR and SSIM,
that makes them capable of handling all luminance levels visible to
the human eye without altering their results for typical CRT display
luminance levels. Such extended quality metrics can be used to
estimate quality of high dynamic range (HDR) images as well as
account for display brightness.