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10 February 2009 A perceptual evaluation of 3D unsharp masking
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Proceedings Volume 7240, Human Vision and Electronic Imaging XIV; 72400R (2009) https://doi.org/10.1117/12.809026
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthias Ihrke, Tobias Ritschel, Kaleigh Smith, Thorsten Grosch, Karol Myszkowski, and Hans-Peter Seidel "A perceptual evaluation of 3D unsharp masking", Proc. SPIE 7240, Human Vision and Electronic Imaging XIV, 72400R (10 February 2009); https://doi.org/10.1117/12.809026
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