公开(公告)号：US06947597B2

公开(公告)日：2005-09-20

申请号：US09965880

申请日：2001-09-28

Applicant: Ying-wei Lin ,  Stuart A. Schweid ,  Jeng-nan Shiau ,  Raja Bala ,  Zhigang Fan

Inventor： Ying-wei Lin ,  Stuart A. Schweid ,  Jeng-nan Shiau ,  Raja Bala ,  Zhigang Fan

IPC: G06K9/20 ,  G06T5/00 ,  H04N1/40 ,  G06K9/62

CPC classification number: H04N1/40062 ,  G06K9/00456

Abstract: 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.

Abstract translation: 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_L，R_U和R_V归一化直方图 ）或边缘特征（例如，每个检测到的边缘的像素，水平边缘和垂直边缘）。 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。

公开(公告)号：US07009739B1

公开(公告)日：2006-03-07

申请号：US09699820

申请日：2000-10-30

Applicant: Ying-wei Lin ,  Jeng-nan Shiau

Inventor： Ying-wei Lin ,  Jeng-nan Shiau

IPC: H04N1/46

CPC classification number: H04N1/40012

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US07545540B2

公开(公告)日：2009-06-09

申请号：US11155982

申请日：2005-06-17

Applicant: Jeng-nan Shiau

Inventor： Jeng-nan Shiau

IPC: H04N1/40 ,  H04N1/46 ,  H04N1/60

CPC classification number: H04N1/38 ,  G06K9/38 ,  G06K2209/01 ,  H04N1/56

Abstract: A system and method remove at least one color from a color image in a chrominance-luminance color space. The processing method includes generating screen values for machine independent color space image pixels, comparing the screen values for the pixels with pixel values for one component of the machine independent color space, and generating a dropout pixel for each pixel having a screen value that is less than the pixel value for the one component of the machine independent color space. The screen value for a pixel may be compared to the pixel value for the luminance component to determine whether to generate a dropout pixel or not.

Abstract translation: 系统和方法从色度 - 亮度色彩空间中的彩色图像中移除至少一种颜色。 处理方法包括生成机器独立色彩空间图像像素的屏幕值，将像素的屏幕值与机器独立颜色空间的一个分量的像素值进行比较，并且生成具有较小屏幕值的每个像素的压差像素 比机器独立颜色空间的一个组件的像素值。 可以将像素的屏幕值与亮度分量的像素值进行比较，以确定是否生成丢失像素。

公开(公告)号：US06631215B1

公开(公告)日：2003-10-07

申请号：US09448009

申请日：1999-11-23

Applicant: Jeng-nan Shiau ,  Raymond J. Clark ,  Stuart A. Schweid ,  Terri A. Clingerman

Inventor： Jeng-nan Shiau ,  Raymond J. Clark ,  Stuart A. Schweid ,  Terri A. Clingerman

IPC: G06K940

CPC classification number: G06T5/20

Abstract: A method and apparatus are provided for determining a weighted average measured reflectance parameter Rm for pixels in an image for use in integrated cavity effect correction of the image. For each pixel of interest Pi,j in the image, an approximate spatial dependent average Ai,j, Bi,j of video values in a region of W pixels by H scan lines surrounding the pixel of interest Pi,j is computed by convolving video values Vi,j of the image in the region with a uniform filter. For each pixel of interest Pi,j a result of the convolving step is used as the reflectance parameter Rm. The apparatus includes a video buffer for storing the pixels of the original scanned image, and first and second stage average buffers for storing the computed approximate spatial dependent averages Ai,j, Bi,j. First and second stage processing circuits respectively generate the first and second stage average values Ai,j, Bi,j by convolving the video values of the image in a preselected region with a uniform filter.

Abstract translation: 提供一种方法和装置，用于确定用于图像的集成腔效应校正的图像中的像素的加权平均测量反射率参数Rm。 对于图像中的每个感兴趣像素P i，j，通过卷积视频来计算在围绕像素p，j的W像素的H像素的区域中的视频值的近似空间依赖平均值Ai，j，Bi，j 在具有均匀滤波器的区域中的图像的值Vi，j。 对于感兴趣的每个像素Pi，j，使用卷积步骤的结果作为反射参数Rm。 该装置包括用于存储原始扫描图像的像素的视频缓冲器，以及用于存储所计算的近似空间相关平均值Ai，j，Bi，j的第一和第二平均缓冲器。 第一和第二级处理电路通过使用均匀的滤波器卷积预选区域中的图像的视频值，分别产生第一和第二平均值Ai，j，Bi，j。

公开(公告)号：US5642202A

公开(公告)日：1997-06-24

申请号：US347756

申请日：1994-12-01

Applicant: Leon C. Williams ,  Jeng-nan Shiau

Inventor： Leon C. Williams ,  Jeng-nan Shiau

IPC: H04N1/00 ,  G09G5/00 ,  H04N1/047 ,  H04N1/407 ,  H04N1/401

CPC classification number: H04N1/047 ,  H04N1/4076 ,  H04N2201/04729 ,  H04N2201/04789

Abstract: A system and method for calibrating a printing system includes a printer and a master test image document printed by the printer. The master test image has three locator symbols and a plurality of test objects, each symbol having a distinct apex. The apexes are non-colinear. A memory prestores image data corresponding to the test objects printed on the master test image document and positional data corresponding to a desired coordinate value for each non-colinear apex. The system also includes a scanner for scanning the master test image document and detects the locator symbols printed on master test image document to generate transition data therefrom. The calibration process determines a coordinate value for each non-colinear apex based on the transition data and generates a transformation matrix based on a difference between the determined coordinate value for each non-colinear apex and the desired coordinate value for each non-colinear apex. A compensation process retrieves prestored image data corresponding to the scanned image data based on the transformation matrix. The calibration process then compares scanned image data with the retrieved prestored image data to generate compensation values based on a difference between the scanned image data and the prestored image data.

Abstract translation: 用于校准打印系统的系统和方法包括由打印机打印的打印机和主测试图像文档。 主测试图像具有三个定位符符号和多个测试对象，每个符号具有不同的顶点。 顶点是非共线的。 存储器预先存储对应于打印在主测试图像文档上的测试对象的图像数据和对应于每个非共线顶点的期望坐标值的位置数据。 该系统还包括用于扫描主测试图像文档并检测打印在主测试图像文档上的定位符号以从其生成转换数据的扫描仪。 校准过程基于转移数据确定每个非共线顶点的坐标值，并且基于每个非共线顶点的确定坐标值与每个非共线顶点的期望坐标值之间的差产生变换矩阵。 补偿过程基于变换矩阵来检索对应于扫描图像数据的预存储图像数据。 然后，校准过程将扫描图像数据与检索到的预存图像数据进行比较，以基于扫描图像数据和预存图像数据之间的差异生成补偿值。

公开(公告)号：US07421143B2

公开(公告)日：2008-09-02

申请号：US10709832

申请日：2004-06-01

Applicant: Xing Li ,  Stuart A. Schweid ,  Jeng-nan Shiau

Inventor： Xing Li ,  Stuart A. Schweid ,  Jeng-nan Shiau

IPC: G06K9/40

CPC classification number: H04N1/40062 ,  H04N1/4072

Abstract: A method for dynamic range adjustment of image data of a captured image by determining a white point of an image. The method also involves determining a black point of the image, classifying pixels of the image, and determining an offset value for a pixel of the image based on the determined black point of the image and the determined classification of the pixel. Dynamic range adjustment of the image data is performed using the determined offset value for the pixels of the image and the determined white point of the image.

Abstract translation: 通过确定图像的白点来对拍摄图像的图像数据进行动态范围调整的方法。 该方法还包括确定图像的黑点，对图像的像素进行分类，以及基于确定的图像的黑点和所确定的像素的分类来确定图像的像素的偏移值。 使用确定的图像的像素的偏移值和确定的图像的白点来执行图像数据的动态范围调整。

公开(公告)号：US20060268344A1

公开(公告)日：2006-11-30

申请号：US11155982

申请日：2005-06-17

Applicant: Jeng-nan Shiau

Inventor： Jeng-nan Shiau

IPC: H04N1/40

CPC classification number: H04N1/38 ,  G06K9/38 ,  G06K2209/01 ,  H04N1/56

Abstract: A system and method remove at least one color from a color image in a chrominance-luminance color space. The processing method includes generating screen values for machine independent color space image pixels, comparing the screen values for the pixels with pixel values for one component of the machine independent color space, and generating a dropout pixel for each pixel having a screen value that is less than the pixel value for the one component of the machine independent color space. The screen value for a pixel may be compared to the pixel value for the luminance component to determine whether to generate a dropout pixel or not.

公开(公告)号：US06535633B1

公开(公告)日：2003-03-18

申请号：US09405712

申请日：1999-09-24

Applicant: Stuart A. Schweid ,  Jeng-nan Shiau

Inventor： Stuart A. Schweid ,  Jeng-nan Shiau

IPC: G06K900

CPC classification number: H04N1/56 ,  G06T7/11 ,  G06T2207/10024 ,  G06T2207/30176 ,  H04N1/40062

Abstract: A method and apparatus are provided for use in single channel segmentation of color images for reclassifying pixels which were inappropriately classified as belonging to a “black” or “white” class. The apparatus includes a re-classification circuit receiving first classification data generated by a single channel segmentation circuit operative to classify pixels of a multi-color channel input image. The re-classification circuit selectively re-classifies pixels that were previously classified by the single channel segmentation circuit into an “other” segmentation class based on a comparison of classification data associated with the pixels relative to a set of predefined classification data types. Particularly, the re-classification circuit reclassifies selected ones of the pixels into the “other” segmentation class when first classification data generated by the single channel segmentation circuit labels the pixels as a “white” or “black” data type.

Abstract translation: 提供了一种用于彩色图像的单通道分割的方法和装置，用于将不适当地归类为属于“黑色”或“白色”类的像素重新分类。 该装置包括接收由单通道分割电路生成的第一分类数据的再分类电路，其操作以对多色信道输入图像的像素进行分类。 重新分类电路基于与相对于一组预定义分类数据类型的像素相关联的分类数据的比较，有选择地将先前由单个信道分割电路分类的像素重新分类为“其他”分割类别。 特别地，当由单个信道分割电路产生的第一分类数据将像素标记为“白色”或“黑色”数据类型时，重新分类电路将所选择的像素重新分类为“其他”分割类别。

公开(公告)号：US06222642B1

公开(公告)日：2001-04-24

申请号：US09131912

申请日：1998-08-10

Applicant: Barbara L. Farrell ,  Jeng-nan Shiau

Inventor： Barbara L. Farrell ,  Jeng-nan Shiau

IPC: G06K1502

CPC classification number: G06K9/38 ,  G06K9/40 ,  G06K2209/01 ,  G06T7/11 ,  G06T7/194 ,  G06T2207/10008 ,  G06T2207/30176 ,  H04N1/40 ,  H04N1/4074

Abstract: An image desired to be reproduced is scanned to determine its video pixel gray values. A histogram generator generates a histogram distribution representing a frequency of the gray values. The histogram distribution is analyzed to determine a background peak gray value of the image and a standard deviation of the histogram distribution based on a Gaussian approximation. A thresholding circuit dynamically adjusts the background peak value based on the standard deviation and a selected scaling factor to generate a background threshold value. The background threshold value expands a range of background gray values in the image which are eliminated during image reproduction. Eliminating substantially all background gray values improves the quality of the reproduced image.

Abstract translation: 扫描期望再现的图像以确定其视频像素灰度值。 直方图生成器生成表示灰度值的频率的直方图分布。 分析直方图分布以确定图像的背景峰值灰度值和基于高斯近似的直方图分布的标准偏差。 阈值电路基于标准偏差和所选的缩放因子来动态地调整背景峰值以产生背景阈值。 背景阈值扩大了在图像再现期间消除的图像中的背景灰度值的范围。 消除基本上所有的背景灰度值改善了再现图像的质量。

公开(公告)号：US5852678A

公开(公告)日：1998-12-22

申请号：US655523

申请日：1996-05-30

Applicant: Jeng-nan Shiau ,  Zhigang Fan ,  Raymond J. Clark

Inventor： Jeng-nan Shiau ,  Zhigang Fan ,  Raymond J. Clark

IPC: H04N1/40 ,  G06K9/34

CPC classification number: H04N1/40062

Abstract: A method and apparatus improves digital reproduction of a compound document image containing half-tone tint regions and text and/or graphics embedded within the half-tone tint regions. The method entails determining a local average pixel value for each pixel in the image, then discriminating and classifying based on the local average pixel values, text/graphics pixels from half-tone tint pixels. Discrimination can be effected by calculating a range of local averages within a neighborhood surrounding each pixel; by calculating edge gradients based on the local average pixel values; or by approximating second derivatives of the local average pixel values based on the local averages. Text/graphics pixels are rendered using a rendering method appropriate for that type of pixel; half-tone tint pixels are rendered using a rendering method appropriate for that type of pixel.

Abstract translation: 一种方法和装置改进了包含半色调色调区域和嵌入在半色调色调区域内的文本和/或图形的复合文档图像的数字再现。 该方法需要确定图像中每个像素的局部平均像素值，然后基于局部平均像素值，来自半色调色调像素的文本/图形像素进行鉴别和分类。 可以通过计算围绕每个像素的邻域中的局部平均值的范围来实现区分; 通过基于局部平均像素值计算边缘梯度; 或者通过基于局部平均值逼近局部平均像素值的二阶导数。 使用适合于该类型的像素的渲染方法来渲染文本/图形像素; 使用适合于该类型的像素的渲染方法来渲染半色调色调像素。