公开(公告)号：US07480078B2

公开(公告)日：2009-01-20

申请号：US11116894

申请日：2005-04-28

Applicant: Yungran Choi ,  Xing Li ,  Daniel A. Mohabir

Inventor： Yungran Choi ,  Xing Li ,  Daniel A. Mohabir

IPC: H04N1/40

CPC classification number: H04N1/4052

Abstract: A method and system for performing error diffusion are disclosed. An ordered set of pixels, including a pixel intensity value for each pixel, is received. Each pixel intensity value includes a value within a range from a low value to a high value, inclusive. An initial error value is also received. Based on the pixel intensity values and the initial error value, a pixel value for each pixel and an updated error value are computed substantially simultaneously with each other.

Abstract translation: 公开了一种用于执行误差扩散的方法和系统。 接收包括每个像素的像素强度值的有序的像素集合。 每个像素强度值包括从低值到高值的范围内的值（包括端值）。 也接收到初始错误值。 基于像素强度值和初始误差值，基本上彼此同时地计算每个像素的像素值和更新的误差值。

公开(公告)号：US07430064B2

公开(公告)日：2008-09-30

申请号：US11167888

申请日：2005-06-27

Applicant: Yingjun Bai ,  Xing Li

Inventor： Yingjun Bai ,  Xing Li

IPC: H04N1/405

CPC classification number: H04N1/405 ,  H04N1/4105

Abstract: A method and system for rotation-dependent halftone rendering. An image input is received from a scanning system or other source, the received image being either a contone image or an error-diffused mage. If a following right-angle image rotation is to be performed, the image is clustered by a clustering method which yields reduced file sizes with respect to the rotated orientation of the image. If no following right-angle image rotation will be performed, the binary image is clustered by an alternate clustering method which yields reduced file sizes with respect to the non-rotated image. The selective clustering includes dividing the image into a tessellation of cells and then concatenating like bits in each cell in a preferred direction for the rotated or non-rotated image. The clustered image is then rotated if necessary, and compressed.

Abstract translation: 一种用于旋转相关半色调渲染的方法和系统。 从扫描系统或其他源接收图像输入，所接收的图像是连续图像或误差扩散法师。 如果要执行以下直角图像旋转，则通过聚类方法聚集图像，该聚类方法相对于图像的旋转取向产生缩小的文件大小。 如果不执行后续的直角图像旋转，则二进制图像通过替代的聚类方法进行聚类，该方法相对于非旋转图像产生缩小的文件大小。 选择性聚类包括将图像划分为单元格的细分，然后在旋转或未旋转的图像的优选方向上将每个单元格中的像位相连。 如果需要，聚集的图像然后旋转并被压缩。

公开(公告)号：US07406210B2

公开(公告)日：2008-07-29

申请号：US10878693

申请日：2004-06-28

Applicant: John C. Handley ,  André Blaakman ,  Anthony Lanza ,  Francis Tse ,  Xing Li ,  Aron Nacman ,  David J. Lieberman

Inventor： John C. Handley ,  André Blaakman ,  Anthony Lanza ,  Francis Tse ,  Xing Li ,  Aron Nacman ,  David J. Lieberman

IPC: G06K9/40

CPC classification number: H04N1/40037 ,  H04N1/4092

Abstract: The present invention is a method and apparatus for processing image data to accomplish tuning or adjustment of images, so as to modify at least the darkness thereof, using compact, efficient methods and designs.

Abstract translation: 本发明是用于处理图像数据以完成图像调谐或调整的方法和装置，以便使用紧凑，有效的方法和设计来至少修改其暗度。

公开(公告)号：US07251059B2

公开(公告)日：2007-07-31

申请号：US10272866

申请日：2002-10-16

Applicant: Xing Li

Inventor： Xing Li

IPC: G06K15/00 ,  H04N1/40

CPC classification number: H04N1/40062

Abstract: In a system, such as in a digital copier, for classifying image data derived from an original image, the image data is classified by type. An algorithm is applied to the gray levels of pixels surrounding each pixel of interest. The algorithm determines whether a local maximum or minimum is part of an image of closely-spaced lines.

Abstract translation: 在诸如数字复印机的系统中，为了对从原始图像导出的图像数据进行分类，图像数据按类型分类。 将算法应用于围绕每个关注像素的像素的灰度级。 该算法确定局部最大值或最小值是否是紧密间隔线的图像的一部分。

公开(公告)号：US20070172149A1

公开(公告)日：2007-07-26

申请号：US11340391

申请日：2006-01-26

Applicant: Clara Cuciurean-Zapan ,  Ramesh Nagarajan ,  Ammal Malik ,  Xing Li

Inventor： Clara Cuciurean-Zapan ,  Ramesh Nagarajan ,  Ammal Malik ,  Xing Li

IPC: G06K9/36

CPC classification number: H04N1/3876

Abstract: The disclosed systems and methods pertain to the processing of large format images in a manner to avoid introducing imaging defects, and more particularly to dividing the large image into bands, processing these bands in parallel and then putting them back together in to create the final processed image. The methods include the use of overlapping the image bands, padding of the bands prior to processing and the redefinition of image values at common boundaries of the bands to minimize or eliminate visible defects.

Abstract translation: 所公开的系统和方法涉及以避免引入成像缺陷的方式处理大幅面图像，更具体地涉及将大图像分割成频带，并行处理这些频带，然后将它们放在一起以创建最终处理 图片。 这些方法包括使用重叠的图像带，处理之前的频带的填充以及频带的共同边界处的图像值的重新定义以最小化或消除可见的缺陷。

公开(公告)号：US07200285B2

公开(公告)日：2007-04-03

申请号：US10943310

申请日：2004-09-17

Applicant: Xing Li ,  Terri A. Clingerman

Inventor： Xing Li ,  Terri A. Clingerman

IPC: G06K9/36 ,  H04N1/04 ,  G06K9/20

CPC classification number: H04N1/3873 ,  H04N1/3878

Abstract: Detecting skew and determining skew angle using the front of a document by determining background-to-document transitions. Incoming scanlines are interval sampled in the fast scan direction every nth pixel. The samples are collected and organized into a two dimension array comprised of scanline based rows and interval based columns. The collected and organized samples are analyzed by intervals to determine a scanline (row) where a specified sampling condition exceeds predetermined threshold. The corresponding row-interval point forms a background-to-medium transition point of the edge of a document. When two or more background-to-medium transition points are found from different intervals the skew angle can be determined using linear regression.

Abstract translation: 通过确定背景到文档的转换，使用文档的正面检测偏斜和确定偏斜角。 进入的扫描线是每第n个像素在快速扫描方向进行间隔采样。 样本被收集并组织成由基于扫描线的行和基于间隔的列组成的二维阵列。 收集和组织的样本以间隔进行分析，以确定指定采样条件超过预定阈值的扫描线（行）。 相应的行间隔点形成文档边缘的背景到中间的转换点。 当从不同的间隔发现两个或多个背景到中间的转换点时，可以使用线性回归来确定偏斜角。

公开(公告)号：US20060290990A1

公开(公告)日：2006-12-28

申请号：US11167888

申请日：2005-06-27

Applicant: Yingjun Bai ,  Xing Li

Inventor： Yingjun Bai ,  Xing Li

IPC: G06F15/00

CPC classification number: H04N1/405 ,  H04N1/4105

Abstract: A method and system for rotation-dependent halftone rendering. An image input is received from a scanning system or other source, the received image being either a contone image or an error-diffused mage. If a following right-angle image rotation is to be performed, the image is clustered by a clustering method which yields reduced file sizes with respect to the rotated orientation of the image. If no following right-angle image rotation will be performed, the binary image is clustered by an alternate clustering method which yields reduced file sizes with respect to the non-rotated image. The selective clustering includes dividing the image into a tessellation of cells and then concatenating like bits in each cell in a preferred direction for the rotated or non-rotated image. The clustered image is then rotated if necessary, and compressed.

Abstract translation: 一种用于旋转相关半色调渲染的方法和系统。 从扫描系统或其他源接收图像输入，所接收的图像是连续图像或误差扩散法师。 如果要执行以下直角图像旋转，则通过聚类方法聚集图像，该聚类方法相对于图像的旋转取向产生缩小的文件大小。 如果不执行后续的直角图像旋转，则二进制图像通过替代的聚类方法进行聚类，该方法相对于非旋转图像产生缩小的文件大小。 选择性聚类包括将图像划分为单元格的细分，然后在旋转或未旋转的图像的优选方向上将每个单元格中的像位相连。 如果需要，聚集的图像然后旋转并被压缩。

公开(公告)号：US20060245000A1

公开(公告)日：2006-11-02

申请号：US11116894

申请日：2005-04-28

Applicant: Yungran Choi ,  Xing Li ,  Daniel Mohabir

Inventor： Yungran Choi ,  Xing Li ,  Daniel Mohabir

IPC: H04N1/40

CPC classification number: H04N1/4052

Abstract: A method and system for performing error diffusion are disclosed. An ordered set of pixels, including a pixel intensity value for each pixel, is received. Each pixel intensity value includes a value within a range from a low value to a high value, inclusive. An initial error value is also received. Based on the pixel intensity values and the initial error value, a pixel value for each pixel and an updated error value are computed substantially simultaneously with each other.

Abstract translation: 公开了一种用于执行误差扩散的方法和系统。 接收包括每个像素的像素强度值的有序的像素集合。 每个像素强度值包括从低值到高值的范围内的值（包括端值）。 也接收到初始错误值。 基于像素强度值和初始误差值，基本上彼此同时地计算每个像素的像素值和更新的误差值。

公开(公告)号：US20060165292A1

公开(公告)日：2006-07-27

申请号：US11043208

申请日：2005-01-26

Applicant: Xing Li

Inventor： Xing Li

IPC: G06K9/48

CPC classification number: G06K9/4604 ,  G06K9/32 ,  G06T7/12 ,  G06T2207/10008 ,  G06T2207/30176 ,  H04N1/00681 ,  H04N1/00718 ,  H04N1/00734 ,  H04N1/00745 ,  H04N1/3878

Abstract: Accurate edge detection requires eliminating pixels that have erroneously been classified as edges prior to image processing. Present systems and methods group recorded background-to-medium and medium-to-background transition points in sets and fit a regression line to each set. Error values are then calculated for the fitted lines, sets with error values that exceed a predetermined amount are excluded and the document edge is identified using the remaining lines. Accordingly, erroneously classified pixels are eliminated quickly enough to keep up with the scanning rate and the edges of a scanned document image can be detected in real-time.

Abstract translation: 精确的边缘检测需要消除在图像处理之前被错误地分类为边缘的像素。 现有的系统和方法组记录了背景到中等和中等到背景的转换点，并为每组设置回归线。 然后针对拟合线计算误差值，排除超出预定量的误差值的集合，并使用剩余的行来识别文档边缘。 因此，错误地分类的像素被足够快地消除以跟上扫描速率，并且可以实时地检测扫描的文档图像的边缘。

公开(公告)号：US07039232B2

公开(公告)日：2006-05-02

申请号：US10172872

申请日：2002-06-14

Applicant: Ramesh Nagarajan ,  Xing Li

Inventor： Ramesh Nagarajan ,  Xing Li

IPC: G06K9/34

CPC classification number: H04N1/4092 ,  G06T7/12 ,  G06T7/143 ,  G06T2207/10016 ,  G06T2207/20021

Abstract: A method for processing segmentation tags to generate a block level tag representative of a group of segmentation tags includes identifying a block of the segmentation tags; compiling a block statistic from a plurality of segmentation tags within the block; determining a most predominant segmentation tag and a second most predominant segmentation tag in the plurality of segmentation tags; and generating a block level tag for the block based on the most predominant segmentation tag, the second most predominant segmentation tag and the block statistic.