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Conference Paper

A Perceptual Evaluation of 3D Unsharp Masking

MPS-Authors
/persons/resource/persons44671

Ihrke,  Matthias
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45298

Ritschel,  Tobias
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45510

Smith,  Kaleigh
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44531

Grosch,  Thorsten
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45095

Myszkowski,  Karol       
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45449

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

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Citation

Ihrke, M., Ritschel, T., Smith, K., Grosch, T., Myszkowski, K., & Seidel, H.-P. (2009). A Perceptual Evaluation of 3D Unsharp Masking. In B. E. Rogowitz, & T. N. Pappas (Eds.), Human Vision and Electronic Imaging XIV, IS &T SPIE's 21st Annual Symposium on Electronic Imaging (pp. 72400R-1-12). Bellingham, USA: SPIE.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-1975-C
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 (¸) and gradient size
(¾) 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 ¾ 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.