Decolorize: Fast, contrast enhancing, color to grayscale conversion

被引：173

作者：

Grundland, Mark ^{[1
]}

Dodgson, Neil A. ^{[1
]}

机构：

[1] Univ Cambridge, Comp Lab, Cambridge CB3 0FD, England

来源：

PATTERN RECOGNITION | 2007年 / 40卷 / 11期

关键词：

color image processing; color to grayscale conversion; contrast enhancement; linage sampling; dimensionality reduction;

D O I：

10.1016/j.patcog.2006.11.003

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a new contrast enhancing color to grayscale conversion algorithm which works in real-time. It incorporates novel techniques for image sampling and dimensionality reduction, sampling color differences by Gaussian pairing and analyzing color differences by predominant component analysis. In addition to its speed and simplicity, the algorithm has the advantages of continuous mapping, global consistency, and grayscale preservation, as well as predictable luminance, saturation, and hue ordering properties. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：2891 / 2896

页数：6

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