公开(公告)号：US09639788B2

公开(公告)日：2017-05-02

申请号：US14812036

申请日：2015-07-29

Applicant: Xerox Corporation

Inventor： Prakash Kumarasamy ,  Sankaralingam Madasamy ,  Apurba Das

IPC: G06F3/12 ,  G06K15/02

CPC classification number: G06K15/1836 ,  G06K15/1813 ,  G06K15/1853 ,  G06K15/1863 ,  G06K15/1865

Abstract: Methods, systems, and computer program products for improving the performance of a raster image processor. Smaller objects are identified among a group of larger objects with respect to a job processed via a raster image processor. The smaller objects are merged with one or more larger objects among the group of larger objects. The smaller objects that are merged with the larger object are treated as a single object without losing the perceptual quality of the job and while reducing memory requirements to thereby enhance productivity during processing of the job via the raster image processor. RIP performance improvement results by pre-flattening complicatedly designed backgrounds with multiple objects of significantly low relative occupancy.

公开(公告)号：US09477897B2

公开(公告)日：2016-10-25

申请号：US14625019

申请日：2015-02-18

Applicant: XEROX CORPORATION

Inventor： Sivakumar Muthaiah ,  Apurba Das

IPC: G06F15/00 ,  G06K9/20 ,  G06K9/00 ,  G06K15/02 ,  H04N1/64

CPC classification number: G06K9/2063 ,  G06K9/00463 ,  G06K15/181 ,  H04N1/00204 ,  H04N1/00307 ,  H04N1/41 ,  H04N1/648 ,  H04N2201/0094

Abstract: The disclosed embodiments illustrate methods and systems for encoding an image. The method includes identifying one or more objects, having an associated first tag value, in the image. The first tag value is deterministic of at least a type of the one or more objects. The number of the one or more objects in the image is less than a predetermined number of objects. The method further includes assigning a second tag value to each pixel in the image to create an encoded image. The second tag value is assigned based on the type of object represented by each pixel. The size of the second tag value is less than the size of the first tag value. The method further includes defining a header field for the encoded image. The header field includes the first tag value associated with each of the one or more objects.

Abstract translation: 所公开的实施例示出了用于对图像进行编码的方法和系统。 该方法包括在图像中识别具有相关联的第一标签值的一个或多个对象。 第一标签值是至少一个或多个对象的类型的确定性。 图像中的一个或多个对象的数量小于预定数量的对象。 该方法还包括为图像中的每个像素分配第二标签值以创建编码图像。 基于由每个像素表示的对象的类型来分配第二标签值。 第二个标签值的大小小于第一个标签值的大小。 该方法还包括定义编码图像的标题字段。 标题字段包括与一个或多个对象中的每一个相关联的第一标签值。

公开(公告)号：US09262702B1

公开(公告)日：2016-02-16

申请号：US14687359

申请日：2015-04-15

Applicant: XEROX CORPORATION

Inventor： Ranita Bej ,  Apurba Das

IPC: H04N1/60 ,  G06K15/02 ,  G06K1/00

CPC classification number: G06K15/1826 ,  G06K2215/0094

Abstract: The present disclosure relates to a computer-implemented method, device, and computer-readable storage medium used for trapping an object against a gradient background comprising: obtaining a trapping parameter for the object in both a fast scan and slow scan direction; forming a first, a second, and a third color trap for the object; comparing the first color trap for the object with the second color trap for the object; comparing the first color trap for the object with the third color trap for the object; determining that a result of the comparing the first color trap for the object with the second color trap for the object yields a larger result than a result of the comparing the first color trap for the object with the third color trap for the object; and applying trapping to the inner side of the object.

Abstract translation: 本公开涉及一种计算机实现的方法，设备和计算机可读存储介质，用于针对渐变背景捕获对象，包括：在快速扫描和慢扫描方向上获得对象的陷印参数; 形成用于所述物体的第一，第二和第三颜色阱; 将对象的第一颜色陷阱与对象的第二颜色陷阱进行比较; 将对象的第一颜色陷阱与对象的第三颜色陷阱进行比较; 确定将所述对象的所述第一颜色陷阱与所述对象的所述第二颜色陷阱进行比较的结果比所述对象的所述第一颜色陷阱与所述对象的所述第三颜色陷阱进行比较的结果相比产生更大的结果; 并将捕获物施加到物体的内侧。

公开(公告)号：US20170032226A1

公开(公告)日：2017-02-02

申请号：US14812036

申请日：2015-07-29

Applicant: Xerox Corporation

Inventor： Prakash Kumarasamy ,  Sankaralingam Madasamy ,  Apurba Das

IPC: G06K15/02

CPC classification number: G06K15/1836 ,  G06K15/1813 ,  G06K15/1853 ,  G06K15/1863 ,  G06K15/1865

Abstract: Methods, systems, and computer program products for improving the performance of a raster image processor. Smaller objects are identified among a group of larger objects with respect to a job processed via a raster image processor. The smaller objects are merged with one or more larger objects among the group of larger objects. The smaller objects that are merged with the larger object are treated as a single object without losing the perceptual quality of the job and while reducing memory requirements to thereby enhance productivity during processing of the job via the raster image processor. RIP performance improvement results by pre-flattening complicatedly designed backgrounds with multiple objects of significantly low relative occupancy.

Abstract translation: 用于提高光栅图像处理器性能的方法，系统和计算机程序产品。 相对于通过光栅图像处理器处理的作业，在一组较大对象之间识别较小的对象。 较小的对象与一组较大的对象中的一个或多个较大的对象合并。 与较大对象合并的较小对象被视为单个对象，而不会丢失作业的感知质量，同时减少内存要求，从而通过光栅图像处理器处理作业时提高生产力。 RIP性能改进结果是通过预先平坦化复杂设计的背景，具有显着低的相对占用的多个对象。

公开(公告)号：US09495623B1

公开(公告)日：2016-11-15

申请号：US14800989

申请日：2015-07-16

Applicant: Xerox Corporation

Inventor： Apurba Das ,  Ranita Bej

IPC: G06F15/00 ,  G06K15/02 ,  H04N19/33 ,  H04N19/119 ,  H04N19/96 ,  H04N19/129

CPC classification number: G06K15/1873 ,  H04N19/119 ,  H04N19/129 ,  H04N19/33 ,  H04N19/96

Abstract: Methods, systems, and computer-program products for optimizing SRE (Super Resolution Encoding) patterns. A hierarchical self-organizing pattern map (HSOPM) of SRE patterns can be derived, which illustrates interrelationships between consecutive SRE patterns. Such a hierarchical self-organizing map provides a first level of hierarchy, a second level of hierarchy, etc. Different weights can be assigned to different synthesis of traversal (SoT) according to the second level of hierarchy. The likelihood of the SRE patterns can then be calculated based on a fitness of continuity and the different weights, so as to subsequently select and encode an allowed number of the SRE patterns while replacing other patterns with a lower likelihood value with an immediate root and thereby adaptively optimize any number of the SRE patterns with respect to any number of values.

Abstract translation: 用于优化SRE（超分辨率编码）模式的方法，系统和计算机程序产品。 可以导出SRE模式的分层自组织模式图（HSOPM），这说明连续SRE模式之间的相互关系。 这样的分级自组织映射提供了层次结构的第一层次，层次结构的第二层次等等。根据层次结构的第二层级可以将不同权重分配给遍历（SoT）的不同综合。 然后可以基于连续性和不同权重的适应度来计算SRE模式的可能性，以便随后选择并编码允许数量的SRE模式，同时用立即根替换具有较低似然值的其他模式，从而 相对于任何数量的值自适应地优化任何数量的SRE模式。

公开(公告)号：US09378438B2

公开(公告)日：2016-06-28

申请号：US14292343

申请日：2014-05-30

Applicant: XEROX CORPORATION

Inventor： Apurba Das

IPC: G06K15/02 ,  G06T1/00 ,  H04N1/60 ,  G06K15/00

CPC classification number: G06K15/1826 ,  G06K15/005 ,  G06T1/00 ,  H04N1/58 ,  H04N1/60

Abstract: This disclosure relates to a method and apparatus for implementing a trapping operation on a digital image during image processing and prorating the size of trap color filter with respect to local irregularity in shape of any target object. Some examples of the present disclosure calculate a plurality of prorated trapping parameters to be applied to portions of an object in a printing process, the calculation being based on repeated generation and application of a 2D Gaussian mask to a binarized object to identify disappeared portions of the object. The calculated plurality of prorated trapping parameters may be applied to the object during the printing process.

Abstract translation: 本公开涉及一种用于在图像处理期间实现数字图像的捕获操作并且相对于任何目标对象的形状的局部不规则性分配陷阱滤色器的尺寸的方法和装置。 本公开的一些示例在打印过程中计算要应用于对象的部分的多个按比例分配的捕获参数，该计算基于将二维高斯掩模重复生成并应用于二值化对象以识别所述对象的消失部分 目的。 计算出的多个按比例分配的捕获参数可以在打印过程中应用于物体。

公开(公告)号：US09277096B1

公开(公告)日：2016-03-01

申请号：US14539590

申请日：2014-11-12

Applicant: XEROX CORPORATION

Inventor： Xing Li ,  Apurba Das

IPC: H04N1/58 ,  H04N1/409 ,  B41J2/21

CPC classification number: H04N1/4092 ,  B41J2/2132 ,  H04N2201/0082

Abstract: A method for varying a thickness of a trap around an object in an image. The method may include selecting a first window along a border of the object. The first window includes one or more first pixels representing the object and one or more second pixels representing a background or another object. A first edge orientation direction is determined based at least partially upon a location of the one or more first pixels in the first window. A first thickness of the object is measured along the first edge orientation direction. A trap is created around the object. A first thickness of the trap proximate to the first window is varied based at least partially upon the first thickness of the object.

Abstract translation: 用于改变图像中物体周围的陷阱的厚度的方法。 该方法可以包括沿对象的边界选择第一窗口。 第一窗口包括表示对象的一个​​或多个第一像素和表示背景或另一对象的一个​​或多个第二像素。 至少部分地基于第一窗口中的一个或多个第一像素的位置来确定第一边缘取向方向。 沿着第一边缘取向方向测量物体的第一厚度。 在对象周围创建一个陷阱。 至少部分地基于物体的第一厚度改变靠近第一窗口的陷阱的第一厚度。

公开(公告)号：US09135535B1

公开(公告)日：2015-09-15

申请号：US14299482

申请日：2014-06-09

Applicant: XEROX CORPORATION

Inventor： Apurba Das ,  Vijayabharathi Shetty

IPC: H04N1/60 ,  G06K15/02

CPC classification number: G06K15/1826 ,  H04N1/58

Abstract: The present disclosure relates to a computer-implemented method, device, and computer-readable storage medium used to determine the prorating of trap color radius with respect to an object (text or graphics) size. The prorating of trap color radius allows for the problem of overpowering the trapping filter over the object size.

Abstract translation: 本公开涉及一种计算机实现的方法，设备和计算机可读存储介质，其用于确定相对于对象（文本或图形）尺寸的陷阱颜色半径的分配。 陷阱颜色半径的分配允许在物体尺寸上强制捕获过滤器的问题。

公开(公告)号：US09123087B2

公开(公告)日：2015-09-01

申请号：US13849560

申请日：2013-03-25

Applicant: Xerox Corporation

Inventor： Apurba Das

IPC: G06K9/00 ,  G06T9/00 ,  G06K9/62 ,  H04N19/00

CPC classification number: G06T9/00 ,  G06K9/00456 ,  G06K9/6267 ,  H04N19/00

Abstract: A method on a computing device for categorizing one or more blocks of an image is disclosed. The method includes computing a membership value of each of the one or more blocks for each of one or more categories based on a set of parameters associated with each of the one or more blocks. The one or more categories comprise at least an image category. Each of the one or more blocks is categorized in the one or more categories based on the membership value. A category of at least one block is modified to the image category based on a reference signal and the membership value such that the number of blocks categorized under the image category increases.

Abstract translation: 公开了一种用于对图像的一个或多个块进行分类的计算设备上的方法。 该方法包括基于与一个或多个块中的每一个相关联的一组参数来计算一个或多个类别中的每一个的一个或多个块中的每一个的隶属度值。 一个或多个类别至少包括图像类别。 基于成员资格值，一个或多个块中的每一个被分类在一个或多个类别中。 基于参考信号和隶属度值将至少一个块的类别修改为图像类别，使得分类在图像类别下的块数量增加。

公开(公告)号：US20140286525A1

公开(公告)日：2014-09-25

申请号：US13849560

申请日：2013-03-25

Applicant: XEROX CORPORATION

Inventor： Apurba Das

IPC: G06T1/00 ,  G06T9/00 ,  G06K9/62

CPC classification number: G06T9/00 ,  G06K9/00456 ,  G06K9/6267 ,  H04N19/00

Abstract: A method on a computing device for categorizing one or more blocks of an image is disclosed. The method includes computing a membership value of each of the one or more blocks for each of one or more categories based on a set of parameters associated with each of the one or more blocks. The one or more categories comprise at least an image category. Each of the one or more blocks is categorized in the one or more categories based on the membership value. A category of at least one block is modified to the image category based on a reference signal and the membership value such that the number of blocks categorized under the image category increases.

Abstract translation: 公开了一种用于对图像的一个或多个块进行分类的计算设备上的方法。 该方法包括基于与一个或多个块中的每一个相关联的一组参数来计算一个或多个类别中的每一个的一个或多个块中的每一个的隶属度值。 一个或多个类别至少包括图像类别。 基于成员资格值，一个或多个块中的每一个被分类在一个或多个类别中。 基于参考信号和隶属度值将至少一个块的类别修改为图像类别，使得在图像类别下分类的块的数量增加。