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    • 6. 发明授权
    • Banding defect detection in digital imaging systems
    • 数字成像系统中的带状缺陷检测
    • US08451504B2
    • 2013-05-28
    • US12552519
    • 2009-09-02
    • Beilei XuWencheng Wu
    • Beilei XuWencheng Wu
    • H04N1/40
    • G06K9/036
    • What is disclosed is a novel system and method for banding defect detection and analysis in digital imaging systems. The present method utilizes the gray levels of image regions and a collection of sequence of user images to improve the banding analysis. One embodiment hereof includes: segmenting images into regions; determining banding information for each page over a given sequence of images and detecting problem banding defect frequencies; estimating the banding amplitude(s) and average gray levels for each segmented region for each identified banding frequency(ies); and determining, through a process of interpolation, the banding amplitude for the image or sequence of images based on the banding amplitude and average gray levels of each region. Thereafter, notification can be provided to a key operator when the amplitude(s) are expected to exceed pre-determined levels over the course of a production run. The method demonstrates advantages in banding detection over whole-page methods.
    • 公开的是用于在数字成像系统中条带缺陷检测和分析的新型系统和方法。 本方法利用图像区域的灰度级和用户图像序列的集合来改进条带分析。 其一个实施例包括:将图像分割成区域; 在给定的图像序列上确定每个页面的条带信息并检测问题带状缺陷频率; 为每个识别的条带频率估计每个分段区域的条带幅度和平均灰度级; 以及基于每个区域的条带幅度和平均灰度级,通过插值过程确定图像或图像序列的条带幅度。 此后,当在生产运行过程中预期振幅超过预定水平时,可向密钥操作者提供通知。 该方法显示了整页检索方法的优势。
    • 7. 发明申请
    • BANDING DEFECT DETECTION IN DIGITAL IMAGING SYSTEMS
    • 数字成像系统中的带状缺陷检测
    • US20110052010A1
    • 2011-03-03
    • US12552519
    • 2009-09-02
    • BEILEI XUWencheng Wu
    • BEILEI XUWencheng Wu
    • G06K9/00
    • G06K9/036
    • What is disclosed is a novel system and method for banding defect detection and analysis in digital imaging systems. The present method utilizes the gray levels of image regions and a collection of sequence of user images to improve the banding analysis. One embodiment hereof includes: segmenting images into regions; determining banding information for each page over a given sequence of images and detecting problem banding defect frequencies; estimating the banding amplitude(s) and average gray levels for each segmented region for each identified banding frequency(ies); and determining, through a process of interpolation, the banding amplitude for the image or sequence of images based on the banding amplitude and average gray levels of each region. Thereafter, notification can be provided to a key operator when the amplitude(s) are expected to exceed pre-determined levels over the course of a production run. The method demonstrates advantages in banding detection over whole-page methods.
    • 公开的是用于在数字成像系统中条带缺陷检测和分析的新型系统和方法。 本方法利用图像区域的灰度级和用户图像序列的集合来改进条带分析。 其一个实施例包括:将图像分割成区域; 在给定的图像序列上确定每个页面的条带信息并检测问题带状缺陷频率; 为每个识别的条带频率估计每个分段区域的条带幅度和平均灰度级; 以及基于每个区域的条带幅度和平均灰度级,通过插值过程确定图像或图像序列的条带幅度。 此后,当在生产运行过程中预期振幅超过预定水平时,可向密钥操作者提供通知。 该方法显示了整页检索方法的优势。
    • 9. 发明授权
    • Image quality defect detection via sensor characterization and halftone dot classification
    • 通过传感器表征和半色调点分类进行图像质量缺陷检测
    • US08571269B2
    • 2013-10-29
    • US13049191
    • 2011-03-16
    • Wencheng WuBeilei XuEdul N. Dalal
    • Wencheng WuBeilei XuEdul N. Dalal
    • G06K9/00
    • H04N1/52H04N1/405
    • What is disclosed is a system and method for image quality (IQ) defect detection via classification of halftone dots present on customer prints. In one embodiment, spatially-varying thresholds are applied on the sensed image in order to classify the halftone dots for IQ defect detection. The resolving power of the sensor is characterized and the sensor responses to patches printed with the print device are characterized. A de-blurring filter is designed which is appropriate for compensating the characterized resolving power of the sensor. Image enhancement is applied to the image using the de-blurring filter. Halftone dots present on the prints are classified by analyzing the enhanced image with the results of the sensor response characterization. Once classified, single separation halftone dot images can be more readily analyzed for defects. The present method allows sensor resolution as low as the size of the halftone dots of the printer under test.
    • 公开的是通过客户印刷品上存在的半色调点的分类的图像质量(IQ)缺陷检测的系统和方法。 在一个实施例中,空间变化的阈值被施加在所感测的图像上,以便对用于IQ缺陷检测的半色调点进行分类。 表征传感器的分辨率,并对传感器对印刷设备印刷的贴片进行响应。 设计了一种去模糊滤波器,适用于补偿传感器的特征分辨率。 图像增强应用于使用去模糊滤镜的图像。 使用传感器响应表征的结果分析增强图像,将印刷品上存在的半色调点分类。 一旦分类,单分离半色调点图像可以更容易地分析缺陷。 本方法允许传感器分辨率低于被测打印机的半色调点的大小。
    • 10. 发明授权
    • Identifying a color separation wherein a banding defect originates
    • 识别带状缺陷产生的颜色分离
    • US08462388B2
    • 2013-06-11
    • US12796375
    • 2010-06-08
    • Beilei XuWencheng Wu
    • Beilei XuWencheng Wu
    • G06F15/00G06K1/00H04N1/60H04N1/46
    • H04N1/6047H04N1/6036
    • What is disclosed is a novel system and method for banding defect detection in user document images to improve image quality trend analysis in multifunction digital imaging system architectures. The present banding detection process uses region-based, time sequence analysis, and graylevels of image regions in a collection of a sequence of regions, to improve banding detection. The present method independently analyzes the colorant separations to detect banding due to sources that are colorant-dependent, e.g., due to a single developer housing. This identification can be performed in the presence of multiple banding defects.
    • 公开了一种用于在用户文档图像中条带缺陷检测的新型系统和方法,以改善多功能数字成像系统架构中的图像质量趋势分析。 本发明的条带检测过程使用区域,时间序列分析和区域序列集合中的图像区域的灰度级,以改善条带检测。 本方法独立地分析着色剂分离,以检测由于着色剂依赖性的来源而引起的条纹,例如由于单个显影剂外壳。 该识别可以在存在多个条带缺陷的情况下进行。