Multi-spectral Analysis on the Color Reproduction of Oriental Watercolor Painting

碩士 === 中國文化大學 === 資訊傳播研究所 === 96 === Multi-spectral approach is used to model the color characteristics of oriental watercolor painting on two kinds of rice paper. Special attention is placed on the interaction of the “paper white” due to the different surface property of the rice paper. Color ramps...

Full description

Bibliographic Details
Main Authors: Chen, Cheng-Yu, 陳政宇
Other Authors: 徐明景
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/32369930253731842794
id ndltd-TW-096PCCU0676009
record_format oai_dc
spelling ndltd-TW-096PCCU06760092017-04-15T05:06:32Z http://ndltd.ncl.edu.tw/handle/32369930253731842794 Multi-spectral Analysis on the Color Reproduction of Oriental Watercolor Painting 頻譜式影像模式應用於國畫色彩複製之研究 Chen, Cheng-Yu 陳政宇 碩士 中國文化大學 資訊傳播研究所 96 Multi-spectral approach is used to model the color characteristics of oriental watercolor painting on two kinds of rice paper. Special attention is placed on the interaction of the “paper white” due to the different surface property of the rice paper. Color ramps are made with pigments and dyes which are used mostly by oriental artists. The measured spectral reflectances of the color ramps are analyzed by three different models (simple additive model, simple subtractive model and single-constant Kubelka-Munk model) with two methods (regression and principal component analysis) to derive the color primaries for two different types of backing. Color difference is used as the index to determine which approach performs better. It turns out that when using regression approach, the simple-subtractive mixing model results in better performance. However when using the principal component analysis, the simple additive model results in the best performance. 徐明景 2008 學位論文 ; thesis 161 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 中國文化大學 === 資訊傳播研究所 === 96 === Multi-spectral approach is used to model the color characteristics of oriental watercolor painting on two kinds of rice paper. Special attention is placed on the interaction of the “paper white” due to the different surface property of the rice paper. Color ramps are made with pigments and dyes which are used mostly by oriental artists. The measured spectral reflectances of the color ramps are analyzed by three different models (simple additive model, simple subtractive model and single-constant Kubelka-Munk model) with two methods (regression and principal component analysis) to derive the color primaries for two different types of backing. Color difference is used as the index to determine which approach performs better. It turns out that when using regression approach, the simple-subtractive mixing model results in better performance. However when using the principal component analysis, the simple additive model results in the best performance.
author2 徐明景
author_facet 徐明景
Chen, Cheng-Yu
陳政宇
author Chen, Cheng-Yu
陳政宇
spellingShingle Chen, Cheng-Yu
陳政宇
Multi-spectral Analysis on the Color Reproduction of Oriental Watercolor Painting
author_sort Chen, Cheng-Yu
title Multi-spectral Analysis on the Color Reproduction of Oriental Watercolor Painting
title_short Multi-spectral Analysis on the Color Reproduction of Oriental Watercolor Painting
title_full Multi-spectral Analysis on the Color Reproduction of Oriental Watercolor Painting
title_fullStr Multi-spectral Analysis on the Color Reproduction of Oriental Watercolor Painting
title_full_unstemmed Multi-spectral Analysis on the Color Reproduction of Oriental Watercolor Painting
title_sort multi-spectral analysis on the color reproduction of oriental watercolor painting
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/32369930253731842794
work_keys_str_mv AT chenchengyu multispectralanalysisonthecolorreproductionoforientalwatercolorpainting
AT chénzhèngyǔ multispectralanalysisonthecolorreproductionoforientalwatercolorpainting
AT chenchengyu pínpǔshìyǐngxiàngmóshìyīngyòngyúguóhuàsècǎifùzhìzhīyánjiū
AT chénzhèngyǔ pínpǔshìyǐngxiàngmóshìyīngyòngyúguóhuàsècǎifùzhìzhīyánjiū
_version_ 1718438004488404992