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In this issue

In this issue We open this issue with two very different applications of color science in the coatings industry. Both involve predicting the reflectance factor of the coatings. First, the Army was seeking a low‐cost paint scheme for the CH‐47F Chinook helicopter that had minimum‐conspicuity when viewed in natural light against forest, desert, and sky backgrounds. In “Quantitative Camouflage Paint Selection for the CH‐47F Helicopter,” Fred W. Bacon, Frank J. Iannarilli, Jr., John A. Conant, Torrey Deas, and Malcolm Dinning discuss both the issues that needed to be considered and the path to the solution that they developed and tested. The next article discusses a very different challenge—the applications of color science to art conservation science and spectral‐based imaging, archiving, and reproduction of artwork. Work in these areas in the Munsell Color Science Laboratory at Rochester Institute of Technology has included pigment selection for developing a prototype calibration target for spectral imaging, pigment identification based upon spectral estimation, image segmentation, and pigment mapping of paintings, improving spectral imaging by incorporating pigment mapping, digitally rejuvenating the appearance of paintings having temporal color changes, and pigment selection for restorative in painting. Most of this work has focused on opaque coatings. However, in this http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Color Research & Application Wiley

In this issue

Color Research & Application , Volume 34 (6) – Dec 1, 2009

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Publisher
Wiley
Copyright
Copyright © 2009 Wiley Periodicals, Inc.
ISSN
0361-2317
eISSN
1520-6378
DOI
10.1002/col.20544
Publisher site
See Article on Publisher Site

Abstract

We open this issue with two very different applications of color science in the coatings industry. Both involve predicting the reflectance factor of the coatings. First, the Army was seeking a low‐cost paint scheme for the CH‐47F Chinook helicopter that had minimum‐conspicuity when viewed in natural light against forest, desert, and sky backgrounds. In “Quantitative Camouflage Paint Selection for the CH‐47F Helicopter,” Fred W. Bacon, Frank J. Iannarilli, Jr., John A. Conant, Torrey Deas, and Malcolm Dinning discuss both the issues that needed to be considered and the path to the solution that they developed and tested. The next article discusses a very different challenge—the applications of color science to art conservation science and spectral‐based imaging, archiving, and reproduction of artwork. Work in these areas in the Munsell Color Science Laboratory at Rochester Institute of Technology has included pigment selection for developing a prototype calibration target for spectral imaging, pigment identification based upon spectral estimation, image segmentation, and pigment mapping of paintings, improving spectral imaging by incorporating pigment mapping, digitally rejuvenating the appearance of paintings having temporal color changes, and pigment selection for restorative in painting. Most of this work has focused on opaque coatings. However, in this

Journal

Color Research & ApplicationWiley

Published: Dec 1, 2009

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