A Spectral Color Analysis and Colorization Technique

Bochko V.; Parkkinen J.

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A Spectral Color Analysis and Colorization Technique

机译：光谱颜色分析和着色技术

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摘要

As the demand for colorization increases, so does the need for an automated technique. A solution to the color-picking task involves principal component analysis-based learning techniques such as a mixture model of probabilistic principal component analyzers and regressive PCA. Experimental results confirm the method's feasibility.

机译：随着对着色的需求增加，对自动化技术的需求也在增加。选色任务的解决方案涉及基于主成分分析的学习技术，例如概率主成分分析仪和回归PCA的混合模型。实验结果证明了该方法的可行性。

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《IEEE Computer Graphics and Applications》 |2006年第5期|p.74-82|共9页
作者
Bochko V.; Parkkinen J.;
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正文语种 eng
中图分类计算机的应用;
关键词
color; computer vision; machine learning; color; computer vision; machine learning;

机译：颜色;计算机视觉;机器学习;颜色;计算机视觉;机器学习;

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2. AN ALGORITHM FOR GENERATING NATURAL COLOR IMAGES FROM FALSE COLOR USING SPECTRAL TRANSFORMATION TECHNIQUE WITH HIGHER POLYNOMIAL ORDER [J] . Kala S., Kumar A., Joshi A. K., International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences . 2018,第1期

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3. Improvement of color reproduction in color digital holography by using spectral estimation technique [J] . Peng Xia, Yuki Shimozato, Yasunori Ito, Applied optics . 2011,第34期

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5. The Color of the Year: A Textual Analysis of Pantone's Color Communication Techniques through the Application of Barthes' Semiotic. [D] . Lee, Kyung Seon. 2015

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7. A Spectral Technique for Coloring Random 3-Colorable Graphs [O] . Noga Alon, Nabil Kahale 1994

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A Spectral Color Analysis and Colorization Technique

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