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A Unified Framework for Physical Print Quality

机译:物理印刷质量的统一框架

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In this paper we present a unified framework for physical print quality. This framework includes a design for a testbed, testing methodologies and quality measures of physical print characteristics. An automatic belt-fed flatbed scanning system is calibrated to acquire L* data for a wide range of flat field imagery. Testing methodologies based on wavelet pre-processing and spectral/statistical analysis are designed.We apply the proposed framework to three common printing artifacts: banding, jitter, and streaking. Since these artifacts are directional, wavelet based approaches are used to extract one artifact at a time and filter out other artifacts. Banding is characterized as a medium-to-low frequency, vertical periodic variation down the page. The same definition is applied to the jitter artifact, except that the jitter signal is characterized as a high-frequency signal above the banding frequency range. However, streaking is characterized as a horizontal aperiodic variation in the high-to-medium frequency range.Wavelets at different levels are applied to the input images in different directions to extract each artifact within specified frequency bands. Following wavelet reconstruction, images are converted into 1-D signals describing the artifact under concern. Accurate spectral analysis using a DFT with Blackman-Harris windowing technique is used to extract the power (strength) of periodic signals (banding and jitter). Since streaking is an aperiodic signal, a statistical measure is used to quantify the streaking strength.Experiments on 100 print samples scanned at 600 dpi from 10 different printers show high correlation (75% to 88%) between the ranking of these samples by the proposed metrologies and experts' visual ranking.
机译:在本文中,我们提出了物理打印质量的统一框架。该框架包括测试台的设计,物理打印特性的测试方法和质量度量。经过校准的自动皮带式平板扫描系统可以采集L *数据,以获取各种平面场图像。设计了基于小波预处理和光谱/统计分析的测试方法。我们将该框架应用于三种常见的打印工件:条带,抖动和条纹。由于这些伪像是定向的,因此基于小波的方法可一次提取一个伪像,并过滤掉其他伪像。条带的特征是页面向下的中低频率,垂直周期性变化。除抖动信号被表征为高于频带频率范围的高频信号外,对抖动伪影的定义相同。但是,条纹的特征是高中频范围内的水平非周期性变化,将不同级别的小波以不同方向应用于输入图像,以提取指定频段内的每个伪像。在小波重构之后,图像被转换成描述所关注伪像的一维信号。使用具有Blackman-Harris开窗技术的DFT进行准确的频谱分析,可以提取周期信号(带和抖动)的功率(强度)。由于条纹是一种非周期性信号,因此使用统计量度来量化条纹强度。从10个不同的打印机以600 dpi扫描的100个打印样本的实验显示,建议的这些样本的等级之间具有高度相关性(75%至88%)气象学和专家的视觉排名。

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