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Quantifying colour appearance. Part II. Testing colour appearance models performance using LUTCHI colour appearance data

✍ Scribed by M. Ronnier Luo


Publisher
John Wiley and Sons
Year
2006
Tongue
English
Weight
70 KB
Volume
31
Category
Article
ISSN
0361-2317

No coin nor oath required. For personal study only.

✦ Synopsis


Color can create a distinct sense of place. During my travels, I have enjoyed the red rocks of Sedona and the red-tiled roofs of Florence, the pervasive gray of Trinity College and the endlessly gray skies of Seattle, and the various pastels of South Beach and the pale blues and yellows of Scandinavia. Color in the built environment provides both information and pleasure, and, perhaps most importantly, color communicates a cultural identity bound in history and tradition. Jean-Philippe and Dominique Lenclos capture this cultural identity in their book, Colors of the World.

Lenclos' work was familiar-I had seen it in The Color Compendium (Hope and Walch, 1990) and Color and Townscape (Duttmann, Schmuck, and Uhl, 1981). In these books, the Lenclos' method of extracting color information from the environment and compiling this information as data was briefly presented. The beautiful fragments of materials, the photos, and captivating color drawings, and the summary color charts told an interesting story of color in place.


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## Abstract In Part I of this article, the development of a multilayer perceptrons feedforward artificial neural network model to predict colour appearance from colorimetric values was reported. Bayesian regularization was employed for the training of the network. In this part of the article, the r