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    • 2. 发明授权
    • Method and apparatus for gray screening
    • 灰色筛选方法和装置
    • US5729663A
    • 1998-03-17
    • US569036
    • 1995-12-07
    • Ying-wei LinLeon C. Williams
    • Ying-wei LinLeon C. Williams
    • H04N1/405H04N1/40H04N1/41
    • H04N1/40087
    • The present invention is a method and apparatus for generating N-bit per pixel output signals in response to M-bit per pixel image input signals, where M is greater than N. The invention employs a halftone cell threshold memory that stores a single threshold for each cell element. During real-time processing of the video image signals, multiple thresholds are calculated based upon the stored thresholds, and the image signals are compared to the thresholds. The threshold calculation process is simplified by using equally spaced constants and any desired variation from the resulting equally spaced thresholds is accomplished through a remapping of the video image signals using a look-up table. The output of the plurality of comparisons carried out for each halftone cell element is then encoded to produce a digital gray-scale output signal.
    • 本发明是一种用于响应于M位每像素图像输入信号产生N位每像素输出信号的方法和装置,其中M大于N.本发明采用半色调单元阈值存储器,其存储单个阈值 每个单元格元素。 在视频图像信号的实时处理期间,基于存储的阈值计算多个阈值,并将图像信号与阈值进行比较。 通过使用等间隔的常数来简化阈值计算过程,并且通过使用查找表重新映射视频图像信号来实现来自所得等间隔的阈值的任何期望的变化。 然后对每个半色调单元元素执行的多个比较的输出被编码以产生数字灰度输出信号。
    • 5. 发明授权
    • Color to black and white converter
    • 颜色到黑白转换器
    • US07009739B1
    • 2006-03-07
    • US09699820
    • 2000-10-30
    • Ying-wei LinJeng-nan Shiau
    • Ying-wei LinJeng-nan Shiau
    • H04N1/46
    • H04N1/40012
    • A continuously variable screening tool is used to generate a unique texture pattern for every color in a multicolor image. The continuously variable screening tool allows a single colorant version of the image to be generated with less information loss than typically suffered in the multicolor to single color transformation process. The continuously variable screening tool is generated by blending patterns from a set of reference screens. The reference screens are associated with selected reference colors in, for example, a machine independent color space. A calculated screen is generated through a weighted blend of reference screens located near the arbitrary color in the machine independent color space. Typically, the weights depend on the distance the arbitrary color is from each of the reference colors. The screens consist of arrays of threshold values. Each threshold value is associated with a dot position and an image pixel. Where a pixel value exceeds the associated threshold value, provision is made to place a mark in the associated dot position. An image processor operative to carry out the method comprises a continuously variable screening tool generator. An embodiment of the image processor includes a reference screen storage device and a screen blender.
    • 使用连续可变的筛选工具为多色图像中的每种颜色生成独特的纹理图案。 连续可变的筛选工具允许以多色到单色转换过程中通常遭受的信息损失较少的信息生成图像的单一着色剂版本。 通过混合来自一组参考屏幕的图案来生成连续可变的筛选工具。 参考屏幕与例如机器独立颜色空间中的所选参考颜色相关联。 通过在机器独立颜色空间中位于任意颜色附近的参考屏幕的加权混合来生成计算屏幕。 通常,权重取决于任意颜色与每个参考颜色的距离。 屏幕由阈值阵列组成。 每个阈值与点位置和图像像素相关联。 如果像素值超过关联的阈值,则提供在相关联的点位置放置标记。 可操作地执行该方法的图像处理器包括连续可变的筛选工具发生器。 图像处理器的实施例包括参考屏幕存储设备和屏幕搅拌器。
    • 7. 发明授权
    • Picture/graphics classification system and method
    • 图片/图形分类系统和方法
    • US06983068B2
    • 2006-01-03
    • US09965922
    • 2001-09-28
    • Salil PrabhakarHui ChengZhigang FanJohn C. HandleyYing-wei Lin
    • Salil PrabhakarHui ChengZhigang FanJohn C. HandleyYing-wei Lin
    • G06K9/00
    • G06K9/00456
    • A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e.g., variance, bias, skewness, and fitness), color discreteness (e.g., R—L, R—U, and R—V normalized histograms), or edge features (e.g., pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture/graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a “soft” image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The “soft” classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.
    • 一种用于图像处理的方法和系统,结合使用SGLD纹理(例如,方差,偏差,偏度和适应度)的自然图像和合成图像之间的图像分类,颜色离散性(例如,R SUB 提供了一个或多个边缘特征(例如每个检测到的边缘,水平边缘和垂直边缘的像素)。 在另一个实施例中,提供了使用SGLD纹理,颜色离散性和边缘特征的组合的图片/图形分类器。 在另一个实施例中,提供了使用两(2)或更多SGLD纹理,颜色离散性和边缘特征的组合的“软”图像分类器。 “软”分类器使用图像特征来对图像,图形或模糊类中的输入图像的区域进行分类。