会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 91. 发明授权
    • Artifact removal and quality assurance system and method for scanned images
    • 扫除图像的人工制品和质量保证体系及方法
    • US07466873B2
    • 2008-12-16
    • US11170013
    • 2005-06-29
    • Reiner EschbachZhigang FanWilliam A. FussShen-Ge Wang
    • Reiner EschbachZhigang FanWilliam A. FussShen-Ge Wang
    • G06K9/40G06K9/00G06K9/38
    • G06K9/036G06K9/00456
    • An artifact removal and quality assurance method and system for digital images, wherein a document comprising at least one printed page is scanned or the original image data are otherwise input. The input digital image data are segmented into components as to content type. The components are classified as either information or noise components. An information component image defined by the information components and a noise component image defined by the noise components are generated and displayed to the user. The user inputs quality assurance input data to indicate zero or more improperly classified components and any improperly classified component is reclassified. The component images are then regenerated and displayed to account for the reclassified component(s). The reclassified component is moved as a unit in real time as viewed by the user from an original location in one of the component images to a corresponding location in the other of the component images. Both component images are saved or otherwise output as desired.
    • 一种用于数字图像的人造物去除和质量保证方法和系统,其中扫描包括至少一个打印页面的文档,否则输入原始图像数据。 输入数字图像数据被分割成内容类型的组件。 组件被分类为信息或噪声组件。 由信息分量定义的信息分量图像和由噪声分量定义的噪声分量图像被生成并显示给用户。 用户输入质量保证输入数据以指示零个或多个不正确分类的组件,并且任何不正确分类的组件被重新分类。 然后,重新生成组件图像并显示以重新分类的组件。 重新分类的组件以用户从组件图像之一中的原始位置实时地作为单元移动到另一个组件图像中的对应位置。 根据需要保存或输出两个组件图像。
    • 92. 发明申请
    • METHODOLOGY FOR SUBSTRATE FLUORESCENT NON-OVERLAPPING DOT DESIGN PATTERNS FOR EMBEDDING INFORMATION IN PRINTED DOCUMENTS
    • 用于印刷文件中嵌入信息的基板荧光非重叠设计图案的方法
    • US20080297851A1
    • 2008-12-04
    • US11754733
    • 2007-05-29
    • Raja BalaReiner EschbachShen-Ge WangYonghui Zhao
    • Raja BalaReiner EschbachShen-Ge WangYonghui Zhao
    • G06K15/00
    • B41M3/144
    • The teachings as provided herein relate to a watermark embedded in an image, and methodology for same, that has the property of being relatively indecipherable under normal light, and yet decipherable under UV light. This fluorescent mark comprises a substrate containing optical brightening agents, and a first dot design printed as an image upon the substrate. The first dot design has as a characteristic, the property of strongly suppressing substrate fluorescence. A second dot design having a property of providing a differing level of substrate fluorescence suppression from that of the first dot design such that when rendered in close spatial proximity with the first dot design image print, the resultant image rendered substrate suitably exposed to an ultra-violet light source, will yield a discernable image evident as a fluorescent mark.
    • 本文提供的教导涉及嵌入在图像中的水印及其方法,其具有在正常光线下相对不可破译的性质,并且在UV光下可解码。 该荧光标记包括含有荧光增白剂的基材和在基材上作为图像印刷的第一点设计。 第一个点设计具有强烈抑制底物荧光的特性。 具有提供与第一点设计不同程度的底物荧光抑制的性质的第二点设计,使得当与第一点设计图像打印紧密地空间接近时,所得到的图像渲染衬底适当地暴露于超 紫色光源,将产生明显的可辨别图像作为荧光标记。
    • 94. 发明授权
    • Method for run-time streak detection by profile analysis
    • 通过剖面分析进行运行时条纹检测的方法
    • US07388989B2
    • 2008-06-17
    • US10992865
    • 2004-11-19
    • Shen-Ge Wang
    • Shen-Ge Wang
    • G06K9/40G06K9/48G06K15/00G06T5/00H04N1/407H04N1/409
    • H04N1/4097
    • Disclosed is a method to detect streaks in the scanned documents. The principle of this method is that the profiles of streaks change very little from line to line, while profiles of other thin lines, as content of scanned documents, usually vary in a degree. Therefore, each scan-line can be searched for streak profiles. Once such a profile is detected, it is compared with a profile stored in a buffer, which represents a dynamic average of previously recorded scan-lines. If a stable streak profile is detected and lasted for a certain length, say one inch, the streak alarm can be turned on and a corresponding correction process can be applied for streak removal. With a limited buffer increase and without any major hardware modification, the proposed method can detect occurrence of streaks at run time of the scanning process.
    • 公开了一种检测扫描文档中的条纹的方法。 这种方法的原理是,条纹的轮廓从一行到另一方变化很小,而作为扫描文档的内容的其他细线的轮廓通常在一定程度上变化。 因此,可以搜索每条扫描线的条纹轮廓。 一旦检测到这样的轮廓,就将其与存储在缓冲器中的轮廓进行比较,这表示先前记录的扫描线的动态平均值。 如果检测到稳定的条纹轮廓并持续一定长度,例如一英寸,则可以打开条纹报警,并且可以应用相应的校正过程来进行条纹去除。 在缓冲区有限的情况下,没有任何主要的硬件修改,所提出的方法可以检测扫描过程运行时的条纹发生。
    • 96. 发明授权
    • Enhancement of glossmark images at low and high densities
    • 在低密度和高密度下增强光泽标记图像
    • US07352493B2
    • 2008-04-01
    • US10876001
    • 2004-06-24
    • Chu-Heng LiuShen-Ge WangBeilei Xu
    • Chu-Heng LiuShen-Ge WangBeilei Xu
    • H04N1/405H04N1/52B41M3/10
    • B41M5/00B41M7/00G03G8/00G03G9/0926
    • The present invention relates to expanding the range of image densities over which the manipulation of differential gloss as may be inherent in halftoned images may be achieved. By selectively applying halftones with anisotropic structure characteristics which are significantly different in orientation while remaining identical in density, a gloss image may be superimposed within an image without the need for special toners or paper. This technique may be enhanced across low and high density areas by application of clear toner. Further, in color systems, light color toner may be applied to low density image areas and dark under-color applied in high density image areas, to expand the range of image densities over which a desired glossmark image will bear an effect.
    • 本发明涉及扩大可以实现半色调图像固有的差分光泽操作的图像浓度的范围。 通过选择性地施加各向异性结构特征的半色调,其在取向上显着不同,同时保持密度相同,可以在图像内叠加光泽图像,而不需要特殊的调色剂或纸张。 通过使用透明调色剂,可以在低密度和高密度区域增强该技术。 此外,在色彩系统中,可以将浅色调色剂施加到低密度图像区域和深色底色施加在高密度图像区域中,以扩大图像浓度的范围,期望的光标图像将在该范围内产生影响。
    • 98. 发明申请
    • Artifact removal and quality assurance system and method for scanned images
    • 扫除图像的人工制品和质量保证体系及方法
    • US20070003157A1
    • 2007-01-04
    • US11170013
    • 2005-06-29
    • Reiner EschbachZhigang FanWilliam FussShen-Ge Wang
    • Reiner EschbachZhigang FanWilliam FussShen-Ge Wang
    • G06K9/40
    • G06K9/036G06K9/00456
    • An artifact removal and quality assurance method and system for digital images, wherein a document comprising at least one printed page is scanned or the original image data are otherwise input. The input digital image data are segmented into components as to content type. The components are classified as either information or noise components. An information component image defined by the information components and a noise component image defined by the noise components are generated and displayed to the user. The user inputs quality assurance input data to indicate zero or more improperly classified components and any improperly classified component is reclassified. The component images are then regenerated and displayed to account for the reclassified component(s). The reclassified component is moved as a unit in real time as viewed by the user from an original location in one of the component images to a corresponding location in the other of the component images. Both component images are saved or otherwise output as desired.
    • 一种用于数字图像的人造物去除和质量保证方法和系统,其中扫描包括至少一个打印页面的文档,否则输入原始图像数据。 输入数字图像数据被分割成内容类型的组件。 组件被分类为信息或噪声组件。 由信息分量定义的信息分量图像和由噪声分量定义的噪声分量图像被生成并显示给用户。 用户输入质量保证输入数据以指示零个或多个不正确分类的组件,并且任何不正确分类的组件被重新分类。 然后,重新生成组件图像并显示以重新分类的组件。 重新分类的组件以用户从组件图像之一中的原始位置实时地作为单元移动到另一个组件图像中的对应位置。 根据需要保存或输出两个分量图像。
    • 99. 发明申请
    • Method and system for image classification and halftone frequency detection
    • 用于图像分类和半色调频率检测的方法和系统
    • US20050271277A1
    • 2005-12-08
    • US10861310
    • 2004-06-04
    • Ying-Wei LinShen-Ge WangBeilei Xu
    • Ying-Wei LinShen-Ge WangBeilei Xu
    • G03G15/00G06K9/20G06K9/34G06K9/46G06T7/40H04N1/40
    • G06K9/00456H04N1/40062
    • A system and method for classifying an image block of a printed image into contone, halftone, or error diffusion classes, includes scanning the printed image; selecting an n by n block of pixels from the scanned image in a luminance channel; calculating an array of DCT coefficients of the pixel block, wherein the calculated DCT coefficients are representative of spatial frequency and spatial orientation of the pixel block; comparing the array of DCT coefficients with an array of predetermined values, wherein the array of predetermined values are indicative of contone, halftone and error diffusion classes; and determining the image classification of the pixel block based on the comparison of the DCT coefficients with the array of predetermined values. If the image is determined to be halftone, then the method further evaluates the DCT coefficients to determine the frequency of the halftone screen.
    • 将印刷图像的图像块分类为连续色调,半色调或误差扩散等级的系统和方法包括扫描印刷图像; 在亮度通道中从扫描图像中选择n×n个像素块; 计算所述像素块的DCT系数的阵列,其中所计算的DCT系数表示所述像素块的空间频率和空间取向; 将DCT系数阵列与预定值的阵列进行比较,其中预定值的阵列指示连续色调,半色调和误差扩散等级; 以及基于DCT系数与预定值的阵列的比较来确定像素块的图像分类。 如果图像被确定为半色调,则该方法进一步评估DCT系数以确定半色调屏幕的频率。