NIHON GAZO GAKKAISHI (Journal of the Imaging Society of Japan)
Online ISSN : 1880-4675
Print ISSN : 1344-4425
ISSN-L : 1344-4425
Imaging Today
PuRet : SHITSUKAN Enhancement Algorithm on Object Surface
Takahiko HORIUCHIMidori TANAKA
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2019 Volume 58 Issue 2 Pages 212-218

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Abstract

In general, “SHITSUKAN” such as glossiness, transparency, and roughness perceived from an object is often lost when reproduced as a digital color image. In this article, we introduce results of investigation by the authors on the SHITSUKAN which changes between the real object and the reproduced image. Then, we focus on the surface SHITSUKAN of the object lost by image reproduction and explain an algorithm “PuRet” which emphasizes the SHITSUKAN of the object surface. Attention is paid to the behavior of the pupil when paying attention to the SHITSUKAN of the object surface and it was discovered that observing the SHITSUKAN with attention to it causes pupil contraction and by applying this finding to retinal response characteristics, a SHITSUKAN emphasis algorithm PuRet was developed. We show that by applying PuRet to current digital color images, we can generate an image emphasizing the SHITSUKAN of the object perceived from the image.

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© 2019 by The Imaging Society of Japan
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