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摘要: 提出基于样本空间学习箅法的RGB(Red,Green,Blue)→CMYK(Cyan, Magenta,Yellow,blacK)颜色空间变换方法,仅需测试400组纯色色块,即可在不同的打印 (抖动)模式、墨水和纸张条件下,对RGB→CMYK转换规律进行有效的学习.该算法学习能 力强、打印速度快,通过在模型中增加高次项,提高了彩色匹配的精度,进一步解决了彩色匹 配的自动化和通用性问题.同时,借助于CIELab均匀颜色空间对图像进行动态范围调整,还 起到了减小色偏、突出图像细节、增强图像对比度的效果.Abstract: A color space transformation method from RGB to CMYK based on knowledge discovery is presented in this paper. The RGB→CMYK for different color ink-jet printers and paper can be found out after only four hundred pure color blocks are tested. This method has a good learning ability and fast printing speed. By adding high-order item to the model, the precision of color matching is improved, and at the same time the problem of automatic color matching and generalization is solved. With the aid of CIELAB uniform color space, the RGB→ CMYK laws are well adjusted to stress the image details and enhance image contrast.
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Key words:
- Color matching /
- version space /
- machine learning /
- multiple polynomial regression /
- color difference
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