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首页> 外文期刊>Neural computing & applications >Relating halftone dot quality to paper surface topography
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Relating halftone dot quality to paper surface topography

机译:将半色调网点质量与纸张表面形貌相关

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摘要

Most printed material is produced by printing halftone dot patterns. One of the key issues that determine the attainable print quality is the structure of the paper surface, but the relation is non-deterministic in nature. We examine the halftone print quality and study the statistical dependence between the defects in printed dots and the topography measurement of the unprinted paper. The work concerns SC paper samples printed by an IGT gravure test printer. We have small-scale 2D measurements of the unprinted paper surface topography and the reflectance of the print result. The measurements before and after printing are aligned with subpixel resolution, and individual printed dots are detected. First, the quality of the printed dots is studied using Self Organizing Map and clustering and the properties of the corresponding areas in the unprinted topography are examined. The printed dots are divided into high and low print quality. Features from the unprinted paper surface topography are then used to classify the corresponding paper areas using Support Vector Machine classification. The results show that the topography of the paper can explain some of the print defects. However, there are many other factors that affect the print quality, and the topography alone is not adequate to predict the print quality.
机译:大多数印刷材料是通过印刷半色调网点图案产生的。决定可达到的打印质量的关键问题之一是纸张表面的结构,但是这种关系本质上是不确定的。我们检查了半色调打印质量,并研究了打印点缺陷与未打印纸的形貌测量之间的统计依赖性。这项工作涉及由IGT凹版测试打印机打印的SC纸样品。我们对未打印的纸张表面形貌和打印结果的反射率进行了小规模的2D测量。将打印前后的测量结果与子像素分辨率对齐,并检测单个打印点。首先,使用自组织图和聚类研究打印点的质量,并检查未打印地形中相应区域的属性。打印的点分为高和低打印质量。然后使用支持向量机分类,使用未打印的纸张表面形貌的特征对相应的纸张区域进行分类。结果表明,纸张的形貌可以解释某些打印缺陷。但是,还有许多其他因素会影响打印质量,仅靠地形就不足以预测打印质量。

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