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Conference Paper

Extending Quality Metrics to Full Luminance Range Images

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44048

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

Mantiuk,  Rafał
Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

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

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Citation

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. 6806B1-6806B10). Bellingham, Wash.: SPIE-IS&T.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-1BA3-5
Abstract
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.