Paper
30 May 2002 Conditions for perceptual transparency
Stephen Westland, Osvaldo da Pos, Caterina Ripamonti
Author Affiliations +
Proceedings Volume 4662, Human Vision and Electronic Imaging VII; (2002) https://doi.org/10.1117/12.469527
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
We review the conditions that are necessary for the perception of transparency and describe the spatiochromatic constraints for achromatic and chromatic transparent displays. These constraints can be represented by the convergence model and are supported by psychophysical data. We present an alternative representation of the constraints necessary for transparency perception that is based on an analogy with a model of colour constancy and the invariance of cone-excitation ratios. Recent psychophysical experiments are described that suggest that displays where the cone-excitation ratios are invariant produce a stronger impression of transparency than displays where the cone excitations are convergent. We argue that the spatial relations in an image are preserved when a Mondrian-like surface is partially covered by a transparent filter and therefore show an intriguing link between transparency perception and colour constancy. Finally, we describe experiments to relate the strength of the transparency percept with the number of unique patches in the image display. We find that the greater the number of surfaces in the display that are partially covered by a transparent filter the stronger the impression of transparency.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen Westland, Osvaldo da Pos, and Caterina Ripamonti "Conditions for perceptual transparency", Proc. SPIE 4662, Human Vision and Electronic Imaging VII, (30 May 2002); https://doi.org/10.1117/12.469527
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Cited by 4 scholarly publications.
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KEYWORDS
Transparency

Opacity

Systems modeling

Colorimetry

Performance modeling

Image filtering

Mathematical modeling

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