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Proceedings Paper

A perceptual evaluation of 3D unsharp masking
Author(s): Matthias Ihrke; Tobias Ritschel; Kaleigh Smith; Thorsten Grosch; Karol Myszkowski; Hans-Peter Seidel
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Paper Abstract

Much research has gone into developing methods for enhancing the contrast of displayed 3D scenes. In the current study, we investigated the perceptual impact of an algorithm recently proposed by Ritschel et al.1 that provides a general technique for enhancing the perceived contrast in synthesized scenes. Their algorithm extends traditional image-based Unsharp Masking to a 3D scene, achieving a scene-coherent enhancement. We conducted a standardized perceptual experiment to test the proposition that a 3D unsharp enhanced scene was superior to the original scene in terms of perceived contrast and preference. Furthermore, the impact of different settings of the algorithm's main parameters enhancement-strength (λ) and gradient size (σ) were studied in order to provide an estimate of a reasonable parameter space for the method. All participants preferred a clearly visible enhancement over the original, non-enhanced scenes and the setting for objectionable enhancement was far above the preferred settings. The effect of the gradient size σ was negligible. The general pattern found for the parameters provides a useful guideline for designers when making use of 3D Unsharp Masking: as a rule of thumb they can easily determine the strength for which they start to perceive an enhancement and use twice this value for a good effect. Since the value for objectionable results was twice as large again, artifacts should not impose restrictions on the applicability of this rule.

Paper Details

Date Published: 10 February 2009
PDF: 12 pages
Proc. SPIE 7240, Human Vision and Electronic Imaging XIV, 72400R (10 February 2009); doi: 10.1117/12.809026
Show Author Affiliations
Matthias Ihrke, Bernstein Ctr. for Computational Neuroscience (Germany)
Max-Planck-Institute for Dynamics and Self-Organization (Germany)
Tobias Ritschel, Max-Planck-Institute for Informatics (Germany)
Kaleigh Smith, Max-Planck-Institute for Informatics (Germany)
Thorsten Grosch, Max-Planck-Institute for Informatics (Germany)
Karol Myszkowski, Max-Planck-Institute for Informatics (Germany)
Hans-Peter Seidel, Max-Planck-Institute for Informatics (Germany)

Published in SPIE Proceedings Vol. 7240:
Human Vision and Electronic Imaging XIV
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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