Paper
17 January 2005 Spectral information and spatial color computation
Author Affiliations +
Proceedings Volume 5667, Color Imaging X: Processing, Hardcopy, and Applications; (2005) https://doi.org/10.1117/12.585896
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
In real world no color exists. Only spectral light distributions interact to form the final color sensation. This paper presents preliminary experiments whose purpose is to test the robustness of a spatial color computation in relation to changes in the acquisition of spectral information. The basic idea is that human vision system has evolved into a robust system to acquire visual information, in this case the color, adapting to varying illumination conditions to guarantee color constancy. The presented experiments test changes in the output of a Retinex-derived tone mapping operator, varying illuminants and color matching function curves. Synthetic high dynamic range multispectral images have been computed by a photometric ray tracer using different illuminants. Then, using standard and modified color matching functions, a set of high dynamic range RGB images has been created. This set has been converted to standard RGB images using a linear tone mapping algorithm with no spatial color computation and one based on Retinex, performing a spatial color normalization. A discussion of the results is presented.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alessandro Rizzi, Davide Gadia, and Daniele Marini "Spectral information and spatial color computation", Proc. SPIE 5667, Color Imaging X: Processing, Hardcopy, and Applications, (17 January 2005); https://doi.org/10.1117/12.585896
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Electronic filtering

High dynamic range imaging

Information visualization

RGB color model

Multispectral imaging

Visualization

Associative arrays

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