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1. 发明授权

US06631215B1 Method and apparatus for implementing integrated cavity effect correction in scanners 有权
标题翻译：在扫描仪中实现集成腔效应校正的方法和装置
公开(公告)号：US06631215B1
公开(公告)日：2003-10-07
申请号：US09448009
申请日：1999-11-23
申请人： Jeng-nan Shiau , Raymond J. Clark , Stuart A. Schweid , Terri A. Clingerman
发明人： Jeng-nan Shiau , Raymond J. Clark , Stuart A. Schweid , Terri A. Clingerman
IPC分类号： G06K940
CPC分类号： G06T5/20
摘要： 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.
摘要翻译：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。

2. 发明授权

US06411735B1 Method and apparatus for distinguishing between noisy continuous tone document types and other document types to maintain reliable image segmentation 有权
标题翻译：用于区分嘈杂的连续色调文档类型和其他文档类型以保持可靠的图像分割的方法和装置
公开(公告)号：US06411735B1
公开(公告)日：2002-06-25
申请号：US09158868
申请日：1998-09-23
申请人： Leon C. Williams , Raymond J. Clark , Stuart A. Schweid
发明人： Leon C. Williams , Raymond J. Clark , Stuart A. Schweid
IPC分类号： G06K962
CPC分类号： G06K9/00456 , H04N1/40062
摘要： A method and apparatus are disclosed for distinguishing noisy continuous tone document types from other document types such as halftone or text, in order to maintain reliable image segmentation. In both cases a Range of Video microclassifier is added to the other microclassifiers (Sij, estimated halftone frequency, etc.) to disqualify noisy continuous tone images from being incorrectly classified as other document types such as halftone or text document types.
摘要翻译：公开了一种用于区分噪声连续色调文档类型和其他文档类型（例如半色调或文本）的方法和装置，以便保持可靠的图像分割。在这两种情况下，将视频微分类器的范围添加到其他微分类器（Sij，估计的半色调频率等），以使噪声连续色调图像被不正确地分类为诸如半色调或文本文档类型的其他文档类型。

3. 发明授权

US5765029A Method and system for fuzzy image classification 失效
标题翻译：模糊图像分类方法和系统
公开(公告)号：US5765029A
公开(公告)日：1998-06-09
申请号：US646540
申请日：1996-05-08
申请人： Stuart A. Schweid , Jeng-Nan Shiau , Raymond J. Clark
发明人： Stuart A. Schweid , Jeng-Nan Shiau , Raymond J. Clark
IPC分类号： G06T5/20 , G06T7/40 , H04N1/40 , G06F9/44 , G06K9/46
CPC分类号： G06T7/403 , H04N1/40062 , Y10S706/90
摘要： A method and system electronically fuzzy classify a pixel belonging to a set of digital image data with respect to a membership of the pixel in a plurality of image classes. This process determines a fuzzy classification of the pixel and generates an effect tag for the pixel based on the fuzzy classification determination. Each class is defined by a set of heuristic rules such that the image classes are non-mutually exclusive. The heuristic rules are a set of conditions that define the membership value of the pixel within a certain class, thereby allowing a pixel to have a membership value in every possible image class.
摘要翻译：电子模糊方法和系统相对于多个图像类别中的像素的隶属度来归类属于一组数字图像数据的像素。该过程确定像素的模糊分类，并且基于模糊分类确定为像素生成效应标签。每个类由一组启发式规则定义，使得图像类是非互斥的。启发式规则是一组条件，用于定义某个类中像素的隶属度值，从而允许像素在每个可能的图像类中具有隶属值。

4. 发明授权

US06185336B2 Method and system for classifying a halftone pixel based on noise injected halftone frequency estimation 有权
标题翻译：基于噪声注入半色调频率估计对半色调像素进行分类的方法和系统
公开(公告)号：US06185336B2
公开(公告)日：2001-02-06
申请号：US09159021
申请日：1998-09-23
申请人： Raymond J. Clark , Stuart A. Schweid
发明人： Raymond J. Clark , Stuart A. Schweid
IPC分类号： G06K962
CPC分类号： H04N1/40062 , G06T7/11 , G06T7/168 , G06T2207/10016 , G06T2207/30176
摘要： A system and method electronically image process a pixel belonging to a set of digital image data with respect to a membership of the pixel in a plurality of image classes. This process uses fuzzy classification to determine a membership value for the pixel for each image classes and generates an effect tag for the pixel based on the fuzzy classification determination. The pixel is image processed based on the membership vector of the pixel. The determination of the membership value also includes the determination of the halftone frequency of the pixel. The present process injects random noise into the frequency estimate before classification to avoid having a sharp shift in the pixel classification population as the ripple in the frequency microclassifier crosses the quantization threshold.
摘要翻译：一种系统和方法电子图像处理属于一组数字图像数据的像素相对于多个图像类别中的像素的隶属度。该过程使用模糊分类来确定每个图像类别的像素的隶属度值，并且基于模糊分类确定为像素生成效应标签。基于像素的隶属矢量对像素进行图像处理。隶属度值的确定还包括确定像素的半色调频率。本方法在分类之前将随机噪声注入到频率估计中，以避免在频率微分类器中的纹波与量化阈值相交时，在像素分类群体中具有尖锐的偏移。

5. 发明授权

US06181829B2 Method and system for classifying and processing of pixels of image data 失效
标题翻译：用于图像数据像素分类和处理的方法和系统
公开(公告)号：US06181829B2
公开(公告)日：2001-01-30
申请号：US09010331
申请日：1998-01-21
申请人： Raymond J. Clark , Leon C. Williams , Stuart A. Schweid , Jeng-Nan Shiau
发明人： Raymond J. Clark , Leon C. Williams , Stuart A. Schweid , Jeng-Nan Shiau
IPC分类号： G06K940
CPC分类号： H04N1/40062
摘要： A system and method classify a pixel of image data as one of a plurality of image types. A first image characteristic value for the pixel, a second image characteristic value for the pixel ,a third image characteristic value for the pixel, and a fourth image characteristic for the pixel is determined. Some of these determinations may be resolution dependent. The values from these determination are utilized in assigning an image type classification to the pixel. Moreover, if at least one of the image characteristic values is greater than a predetermined threshold value the pixel is classified as a halftone peak value. The system includes a plurality of microclassifiers for determining a distinct image characteristic value of the pixel; a plurality of macroreduction circuits connected to the plurality of microclassifiers for performing further higher level operations upon the distinct image characteristic values of the pixel to produce reduced values; and a classification circuit to classify the pixel as an image type based on the reduced values from the macroreduction circuits. The system also includes a circuit to detect flat peaks without detecting multiple peaks and a rectangular blur filtering system.
摘要翻译：系统和方法将图像数据的像素分类为多个图像类型之一。确定像素的第一图像特征值，像素的第二图像特征值，像素的第三图像特征值和用于像素的第四图像特性。这些确定中的一些可能取决于分辨率。来自这些确定的值被用于为像素分配图像类型分类。此外，如果图像特征值中的至少一个大于预定阈值，则将像素分类为半色调峰值。该系统包括用于确定像素的不同图像特征值的多个微分类器; 连接到所述多个微分类器的多个宏观还原电路，用于根据所述像素的不同图像特征值进行更高级的操作以产生减小的值; 以及分类电路，用于基于来自大致减小电路的减小值将像素分类为图像类型。该系统还包括用于检测平坦峰而不检测多个峰的电路和矩形模糊滤波系统。

6. 发明授权

US08712925B2 Method and system for billing based on color component histograms 有权
标题翻译：基于颜色分量直方图的计费方法和系统
公开(公告)号：US08712925B2
公开(公告)日：2014-04-29
申请号：US13275934
申请日：2011-10-18
申请人： Raymond J. Clark , Stuart A. Schweid , Roger Lee Triplett
发明人： Raymond J. Clark , Stuart A. Schweid , Roger Lee Triplett
IPC分类号： G06F17/00 , G06G7/00 , G06Q30/04 , G06Q30/02
CPC分类号： G06Q30/04 , G06Q30/0283
摘要： Disclosed is a processor-implemented method for processing images. The processor receives image data of a color space defined by input provided to a system by a user, determines at least one color attribute of the pixels in the received image correlating to at least perceptual image characteristics, determines statistics using the attribute(s), and analyzes the statistics to classify the image into a category. Based on at least the category, a billing structure for the image is determined. For example, chroma and/or hue of pixels can be used to create histograms, whose data is used to determine a degree of color and/or content of an image, which is categorized. Color space components of received pixels can also be statistically analyzed. Such determinations consider billing based on human perception of use of color. Billing for color images in this manner satisfies the user and increases use of color output (e.g., printing).
摘要翻译：公开了一种用于处理图像的处理器实现的方法。处理器接收由用户提供给系统的输入定义的颜色空间的图像数据，确定与至少感知图像特征相关的接收图像中的像素的至少一个颜色属性，使用属性确定统计，并分析统计信息，将图像分类为一个类别。基于至少该类别，确定图像的记帐结构。例如，可以使用像素的色度和/或色调来创建直方图，其数据用于确定被分类的图像的颜色和/或内容的程度。也可以统计分析接收像素的颜色空间分量。这种确定考虑了基于人类对颜色使用的看法的计费。以这种方式对彩色图像进行计费满足用户并增加使用颜色输出（例如打印）。

7. 发明申请

US20100021069A1 PDF DE-CHUNKING AND OBJECT CLASSIFICATION 有权
公开(公告)号：US20100021069A1
公开(公告)日：2010-01-28
申请号：US12177321
申请日：2008-07-22
申请人： Zhigang Fan , Reiner Eschbach , Michael Branciforte , Farzin Blufrushan , Roger L. Triplett , Raymond J. Clark , William A. Fuss , Michael E. Farrell , David E. Rumph
发明人： Zhigang Fan , Reiner Eschbach , Michael Branciforte , Farzin Blufrushan , Roger L. Triplett , Raymond J. Clark , William A. Fuss , Michael E. Farrell , David E. Rumph
IPC分类号： G06K9/62
CPC分类号： G06T5/001 , G06K9/00463 , G06T7/11 , G06T7/136 , G06T7/194 , G06T2207/30176
摘要： Systems and methods are described that facilitate identifying objects in a document (e.g., a PDF document) for automatic image enhancement (AIE). A PDF document is “chunked” or segmented into chunks, and boundaries between chunks are identified as real or imaginary. Chunks sharing imaginary boundaries are combined, while real boundaries are retained, to generate “de-chunked” objects. These objects are then classified, and an AIE application is executed on objects meeting pre-specified classification criteria. In this manner, objects of r which AIE is not desired are not subjected to the AIE application, thereby saving time and processing resources associated with enhancing the document.
摘要翻译：描述了便于识别用于自动图像增强（AIE）的文档中的对象（例如，PDF文档）的系统和方法。 PDF文档被“分块”或分割成块，并且块之间的边界被识别为实部或虚构。组合共享虚拟边界的块，而保留实际边界，以生成“去分块”对象。然后对这些对象进行分类，并在符合预先指定的分类标准的对象上执行AIE应用程序。以这种方式，不需要AIE的对象不进行AIE应用，从而节省与增强文档相关联的时间和处理资源。

8. 发明授权

US06229923B1 Method and system for classifying and processing of pixels of image data 失效
标题翻译：用于图像数据像素分类和处理的方法和系统
公开(公告)号：US06229923B1
公开(公告)日：2001-05-08
申请号：US09010025
申请日：1998-01-21
申请人： Leon C. Williams , Raymond J. Clark , Jeng-Nan Shiau
发明人： Leon C. Williams , Raymond J. Clark , Jeng-Nan Shiau
IPC分类号： G06K962
CPC分类号： G06K9/00456
摘要： A system and method classify a pixel of image data as one of a plurality of image types. A first image characteristic value for the pixel, a second image characteristic value for the pixel, a third image characteristic value for the pixel, and a fourth image characteristic for the pixel is determined. Some of these determinations may be resolution dependent. The values from these determination are utilized in assigning an image type classification to the pixel. Moreover, if at least one of the image characteristic values is greater than a predetermined threshold value the pixel is classified as a halftone peak value. The system includes a plurality of microclassifiers for determining a distinct image characteristic value of the pixel; a plurality of macroreduction circuits connected to the plurality of microclassifiers for performing further higher level operations upon the distinct image characteristic values of the pixel to produce reduced values; and a classification circuit to classify the pixel as an image type based on the reduced values from the macroreduction circuits. The system also includes a circuit to detect flat peaks without detecting multiple peaks and a rectangular blur filtering system.
摘要翻译：系统和方法将图像数据的像素分类为多个图像类型之一。确定像素的第一图像特征值，像素的第二图像特征值，像素的第三图像特征值和用于像素的第四图像特性。这些确定中的一些可能取决于分辨率。来自这些确定的值被用于为像素分配图像类型分类。此外，如果图像特征值中的至少一个大于预定阈值，则将像素分类为半色调峰值。该系统包括用于确定像素的不同图像特征值的多个微分类器; 连接到所述多个微分类器的多个宏观还原电路，用于根据所述像素的不同图像特征值进行更高级的操作以产生减小的值; 以及分类电路，用于基于来自大致减小电路的减小值将像素分类为图像类型。该系统还包括用于检测平坦峰而不检测多个峰的电路和矩形模糊滤波系统。

9. 发明授权

US4757389A Calibration improvement with dither for a raster input scanner 失效
标题翻译：用于光栅输入扫描仪的抖动校准改进
公开(公告)号：US4757389A
公开(公告)日：1988-07-12
申请号：US61745
申请日：1987-06-15
申请人： Raymond J. Clark , Leon C. Williams
发明人： Raymond J. Clark , Leon C. Williams
IPC分类号： H04N1/19 , G06T1/00 , H04N1/401 , H04N1/387
CPC分类号： H04N1/401
摘要： A raster input scanner in which a dither generator introduces a random error signal to artificially increase the calibration signal accuracy during calibration of the scanner.

10. 发明授权

US08305640B2 Distributed data flow for page parallel image processing within printing systems 有权
标题翻译：印刷系统中页面并行图像处理的分布式数据流
公开(公告)号：US08305640B2
公开(公告)日：2012-11-06
申请号：US12703232
申请日：2010-02-10
申请人： Isaak Rivshin , Raymond J. Clark , Daniel Davies , Dale T. Platteter , Michael W. Marchetti
发明人： Isaak Rivshin , Raymond J. Clark , Daniel Davies , Dale T. Platteter , Michael W. Marchetti
IPC分类号： H04N1/56 , G06T1/20
CPC分类号： H04N1/603 , G06K15/1849 , G06K15/1857 , G06K2215/0094
摘要： A system renders print jobs via a marking engine. A raster image processor receives the job from the input module and renders it to one or more raster images. One or more contone image processors receive the one or more raster images to perform cross-channel image processing to render the raster images into a form compatible with the marking engine, wherein the output is partially sub-partitioned by color separation. An image refactoring and distribution network completes the sub-partitioning by separation of the rendered contone raster images by color separation and distributes each color sub-partition to a marker channel module specific to each color sub-partition. A marking engine receives the color sub-partitioned image data, marks the image onto a substrate and outputs a hardcopy of the image.
摘要翻译：系统通过标记引擎呈现打印作业。光栅图像处理器从输入模块接收作业并将其呈现给一个或多个光栅图像。一个或多个连续色调图像处理器接收一个或多个光栅图像以执行交叉通道图像处理，以将光栅图像呈现为与标记引擎兼容的形式，其中输出被颜色分离部分地进行子分区。图像重构和分配网络通过颜色分离分离渲染的连续色调光栅图像来完成子分割，并将每个颜色子分区分配给每个颜色子分区特有的标记通道模块。标记引擎接收颜色分分割图像数据，将图像标记到基板上并输出图像的硬拷贝。

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