张刚,马秀峰,何颂华,陈桥,赵子琦.基于光谱反射率确定 Y_N 模型公式因数n及有效网点面积率的方法研究[J].包装工程,2014,35(1):101-107.
ZHANG Gang,MA Xiu-feng,HE Song-hua,CHEN Qiao,ZHAO Zi-qi.Research on Methods of Determining the Factor n of Yule-Nielsen Model and the Effective Dot Percentage Based on Spectral Reflectivity[J].Packaging Engineering,2014,35(1):101-107. |
| 基于光谱反射率确定 Y_N 模型公式因数n及有效网点面积率的方法研究 |
| Research on Methods of Determining the Factor n of Yule-Nielsen Model and the Effective Dot Percentage Based on Spectral Reflectivity |
| 投稿时间：2013-10-22 修订日期：2013-12-01 |
| DOI： |
| 中文关键词: 打印机 正向特征化 墨量限制 有效网点百分比 |
| 英文关键词:printer forward characterization ink limit effective dot percentages |
| 基金项目:国家自然科学基金资助项目(61108087) |
| 作者 | 单位 |
| 张刚 | 曲阜师范大学, 日照 276800 |
| 马秀峰 | 曲阜师范大学, 日照 276800 |
| 何颂华 | 深圳职业技术学院, 深圳 518000 |
| 陈桥 | 深圳职业技术学院, 深圳 518000 |
| 赵子琦 | 曲阜师范大学, 日照 276800 |
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| Author | Institution |
| ZHANG Gang | Qufu Normal University, Rizhao 276800, China |
| MA Xiu-feng | Qufu Normal University, Rizhao 276800, China |
| HE Song-hua | Shenzhen Polytechnic, Shenzhen 518000, China |
| CHEN Qiao | Shenzhen Polytechnic, Shenzhen 518000, China |
| ZHAO Zi-qi | Qufu Normal University, Rizhao 276800, China |
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| 中文摘要: |
| 目的 基于 Y_N 模型的打印机正向特征化,考虑到物理网点扩大与光学网点扩大对模型的影响,需要通过单通道墨量限制,以及采用非线性最优化的方法,来确定油墨的有效网点百分比和该模型修正系数 n。 方法 使用 ProductionHouse 10 . 2 软件实现单通道的墨量限制,使用非线性最优化的方法计算获得 Y_N 模型的公式因子 n 为 2 . 5 。 结果 将此 n 值带入 Y_N 模型的反向变换形式,可以获得修正后的有效网点面积率,并获得有效网点百分比与理论网点百分比的一维查找表,进而拟合了理论网点百分比与有效网点百分比,获得网点百分比的传递函数。 结论 通过单通道墨量限制和引入 Y_N 模型公式因数 n,消除了因物理网点扩大和光学网点扩大对 Y_N 模型造成的影响,并准确拟合了有效网点百分比与理论网点百分比的传递函数。 |
| 英文摘要: |
| Objective To determine the effective ink dot percentages and the factor n of the Yule-Nielsen model, based on Yule-Nielsen ( Y_N) model-based printer forward characterization, considering the influence of the physical dot gain and optical dot gain, through single-channel ink limit and the nonlinear optimal method. Methods The ONYX ProductionHouse 10. 2 software was used to realize the single channel of ink limit, and the value of n (2. 5) of the Yule-Nielsen model was obtained using nonlinear optimization techniques. Results By taking the value of n into the Y_N reverse transformation form, the corrected effective dot percentage was obtained, as well as one-dimensional lookup table of effective dot percentage adding a correction factor n and theoretical dot percentage. Furthermore, the dot transfer function fitted from the theoretical dot percentage to effective dot percentage was obtained. Conclusion Through the single- channel ink limit and correction factor n of the Y _ N model, the influence of the physical dot gain and the optical dot gain on the Y_N model can be eliminated, and the dot transfer function can be accurately fitted from theoretical dot percentage to effective dot percentage. |
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