主动数字压力机优化

Chung-Hui Kuo
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引用次数: 1

摘要

虽然传统印刷业正经历着电信和显示技术快速发展带来的重大挑战,但数字印刷技术满足了对短时间和高质量印刷材料日益增长的需求,为未来的增长提供了机会。为了最大限度地降低材料和劳动力的生产成本,研究人员继续追求智能印刷机的想法,它可以预测和感知可能的故障,并自动恢复以优化输出图像质量。在本文中,我们将介绍一种压力优化算法,通过调制其数字图像写入模块的曝光输出来确定地检测和自动修复非均匀性图像伪影。该算法已成功部署在伊士曼柯达公司商用数字印刷机的智能校准系统软件包中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active digital press optimization
While the traditional printing industry has been experiencing significant challenges from the rapid advancement of telecommunication and display technologies, the increasing demand for short-run and high quality printed material, fulfilled by digital printing technologies, provides future growth opportunity. To minimize the production cost in material and labor, researchers continue to pursue the idea of a Smart Printing Press, which can predict and sense possible failures and automatically recover to optimize the output image quality. In this paper, we will introduce a press-optimization algorithm to deterministically detect and automatically repair the non-uniformity image artifact through modulating the exposure output from its digital image-writing modules. This algorithm has been successfully deployed in the Intelligent Calibration System software package on commercial digital presses of Eastman Kodak Company.
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