| 摘要: |
| 在不同的设备间保持色彩的一致性是当前彩色印刷的一项重要的世界性技术难题.从机器学习的角度,提出了基于学习的色彩空间变换方法,并利用科学发现的基本思想,较为成功地解决了彩色喷墨打印机中的彩色匹配的自动化和通用性问题,取得了理想的匹配效果.该技术目前已与日本佳能泰克公司进一步合作、开发,实现商品化. |
| 关键词: 彩色匹配,空间变换,机器学习,科学发现. |
| DOI： |
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| 基金项目:本文研究得到国家自然科学基金和国际合作项目彩色匹配资金资助. |
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| A Color Matching Method Based on Machine Learning |
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QIAN Guo-liang,CHEN Bin,SHU Wen-hao,HONG Yong,MA Pei-jun
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| Abstract: |
| It is an important and hard technique problem in the area of color printing to keep the accordance of color between the different devices. In this paper, from the view of machine learning, a new color space transformation method based on machine learning is presented. Using the basic ideas of science discovery, it successfully solves the automatic and general problem in the different color ink printers. The experimental results show that this approach is superior to the traditional methods. Currently, this technique has been applied to the new products in the color ink printer markets, under the cooperation with Canotec Corporation Incorporated in Japan. |
| Key words: Color matching, space transformation, machine learning, science discovery. |
