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Proceedings Paper
Volume: 31 | Article ID: 24
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Perceived Translucency at Different Spatial Scales in Color and Grayscale Images
  DOI :  10.2352/CIC.2023.31.1.25  Published OnlineNovember 2023
Abstract
Abstract

Many objects and materials in our daily lives are translucent. Translucency is an important attribute of appearance together with color, gloss, and texture. However, it remains largely unexplored whether and how these attributes impact each other. While the vast amount of literature exists about color reproduction, very little is known whether color reproduction at the same time affects perceived translucency. A substantial part of the translucency perception research is conducted on grayscale stimuli, which raises the question whether their findings can be generalized to the chromatic world we live in. A previous work showed that translucency changes when the image is converted to grayscale. One potential explanation the authors offered was the easier recognition of familiar materials. In this work we conducted psychophysical experiments where four versions of the images of different objects were shown: cropped close-ups and full images both in color as well as grayscale. The observers had to classify materials in each image as transparent, translucent, or opaque. We hypothesized that cropping would make material identity more ambiguous, and hence, affect translucency. We observed that for some images, conversion to grayscale affects translucency, and this effect is usually stronger for cropped versions. However, this effect was not observed for some other images. Overall, the way color and cropping affect translucency was not systematic across the dataset, which opens up additional questions for future work to explain these cross-stimuli differences.

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  Cite this article 

Aqsa Hassan, Davit Gigilashvili, "Perceived Translucency at Different Spatial Scales in Color and Grayscale Imagesin Color and Imaging Conference,  2023,  pp 121 - 137,  https://doi.org/10.2352/CIC.2023.31.1.25

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Copyright This work is licensed under the Creative Commons Attribution 4.0 International License. 2023
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Color and Imaging Conference
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