公开(公告)号：US06683998B2

公开(公告)日：2004-01-27

申请号：US10193931

申请日：2002-07-11

申请人： Brian Atkins ,  Charles A Bouman ,  Jan P. Allebach

发明人： Brian Atkins ,  Charles A Bouman ,  Jan P. Allebach

IPC分类号： G06K932

CPC分类号： G06T3/4007

摘要： An electronic database for image interpolation is generated by a computer. The computer generates a low-resolution image from a training image, a plurality of representative vectors from the low-resolution image, and a plurality of interpolation filters corresponding to each of the representative vectors. The interpolation filters and the representative vectors are generated off-line and can be used to perform image interpolation on an image other than the training image. The database can be stored in a device such as computer or a printer.

公开(公告)号：US06466702B1

公开(公告)日：2002-10-15

申请号：US09064638

申请日：1998-04-21

申请人： C. Brian Atkins ,  Charles A. Bouman ,  Jan P. Allebach

发明人： C. Brian Atkins ,  Charles A. Bouman ,  Jan P. Allebach

IPC分类号： G06K932

CPC分类号： G06T3/4007

摘要： An electronic database for image interpolation is generated by a computer. The computer generates a low-resolution image from a training image, a plurality of representative vectors from the low-resolution image, and a plurality of interpolation filters corresponding to each of the representative vectors. The interpolation filters and the representative vectors are generated off-line and can be used to perform image interpolation on an image other than the training image. The database can be stored in a device such as computer or a printer.

摘要翻译： 用于图像插值的电子数据库由计算机产生。 计算机从训练图像生成低分辨率图像，从低分辨率图像生成多个代表矢量，以及对应于每个代表矢量的多个内插滤波器。 内插滤波器和代表矢量离线生成，可以用于对训练图像以外的图像进行图像插值。 数据库可以存储在诸如计算机或打印机的设备中。

公开(公告)号：US6058248A

公开(公告)日：2000-05-02

申请号：US318201

申请日：1999-05-25

申请人： Brian Atkins ,  Charles A Bouman ,  Jan P. Allebach ,  Jay S Gondek ,  Morgan T Schramm ,  Frank W. Sliz

发明人： Brian Atkins ,  Charles A Bouman ,  Jan P. Allebach ,  Jay S Gondek ,  Morgan T Schramm ,  Frank W. Sliz

IPC分类号： H04N1/387 ,  G06T3/40 ,  G06T5/20 ,  G09G5/373 ,  G06F15/00

CPC分类号： G06T3/4007

摘要： A data resolution synthesis algorithm takes low resolution source input data (e.g., data degraded from compression or data acquired from low quality imaging devices) to synthesize high resolution output data. In an exemplary embodiment for color printing, the algorithm is performed by characterizing a multi-pixel area, or window, around a pixel that can benefit from resolution enhancement. To interpolate to a high resolution output a set of spatial filters is applied to the data area based on the window characterization. The output of the resolution synthesizer is a set of multiple pixels for each input pixel, representing the source input pixel in a higher resolution enhanced version. The filters are chosen from a stored data base (generic or specifically applicable data base for each type input device) created to fit input/output device requirements.

摘要翻译： 数据分辨率合成算法采用低分辨率源输入数据（例如，从压缩中降级的数据或从低质量成像设备获取的数据）来合成高分辨率输出数据。 在用于彩色打印的示例性实施例中，通过在可以从分辨率增强中受益的像素周围表征多像素区域或窗口来执行算法。 为了内插到高分辨率输出，基于窗口表征将一组空间滤波器应用于数据区域。 分辨率合成器的输出是每个输入像素的多个像素的集合，表示较高分辨率增强版本中的源输入像素。 滤波器是从存储的数据库（每个类型输入设备的通用或特别适用的数据库）中选择的，以适应输入/输出设备要求。

公开(公告)号：US6075926A

公开(公告)日：2000-06-13

申请号：US837619

申请日：1997-04-21

申请人： Brian Atkins ,  Charles A Bouman ,  Jan P. Allebach ,  Jay S Gondek ,  Morgan T Schramm ,  Frank W. Sliz

发明人： Brian Atkins ,  Charles A Bouman ,  Jan P. Allebach ,  Jay S Gondek ,  Morgan T Schramm ,  Frank W. Sliz

IPC分类号： H04N1/387 ,  G06T3/40 ,  G06T5/20 ,  G09G5/373 ,  G06F5/01

CPC分类号： G06T3/4007

摘要： A data resolution synthesis algorithm takes low resolution source input data (e.g., data degraded from compression or data acquired from low quality imaging devices) to synthesize high resolution output data. In an exemplary embodiment for color printing, the algorithm is performed by characterizing a multi-pixel area, or window, around a pixel that can benefit from resolution enhancement. To interpolate to a high resolution output a set of spatial filters is applied to the data area based on the window characterization. The output of the resolution synthesizer is a set of multiple pixels for each input pixel, representing the source input pixel in a higher resolution enhanced version. The filters are chosen from a stored data base (generic or specifically applicable data base for each type input device) created to fit input/output device requirements.

公开(公告)号：US09042640B2

公开(公告)日：2015-05-26

申请号：US13349751

申请日：2012-01-13

申请人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman ,  Reuven J. Sherwin

发明人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman ,  Reuven J. Sherwin

IPC分类号： G06K9/62 ,  G06K9/00 ,  G06K9/32

CPC分类号： G06K9/00671 ,  G06K9/3258

摘要： As set forth herein, a computer-implemented method facilitates pre-analyzing an image and automatically suggesting to the user the most suitable regions within an image for text-based personalization. Image regions that are spatially smooth and regions with existing text (e.g. signage, banners, etc.) are primary candidates for personalization. This gives rise to two sets of corresponding algorithms: one for identifying smooth areas, and one for locating text regions. Smooth regions are found by dividing the image into blocks and applying an iterative combining strategy, and those regions satisfying certain spatial properties (e.g. size, position, shape of the boundary) are retained as promising candidates. In one embodiment, connected component analysis is performed on the image for locating text regions. Finally, based on the smooth and text regions found in the image, several alternative approaches are described herein to derive an overall metric for “suitability for personalization.”

摘要翻译： 如本文所述，计算机实现的方法有助于预分析图像并且自动地向用户建议图像内的最合适的区域用于基于文本的个性化。 具有空间平滑的图像区域和具有现有文本的区域（例如标牌，横幅等）是用于个性化的主要候选者。 这产生了两组相应的算法：一种用于识别平滑区域，一种用于定位文本区域。 通过将图像划分成块并应用迭代组合策略来找到平滑区域，并且满足某些空间属性（例如，边界的大小，位置，形状）的那些区域被保留为有希望的候选者。 在一个实施例中，对用于定位文本区域的图像执行连接分量分析。 最后，基于图像中发现的平滑和文本区域，本文描述了几种替代方法，以得出“适合个性化”的总体度量。

公开(公告)号：US20130330004A1

公开(公告)日：2013-12-12

申请号：US13494173

申请日：2012-06-12

申请人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

发明人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

IPC分类号： G06K9/18 ,  G06K9/34

CPC分类号： G06K9/4604 ,  G06K9/3258 ,  G06K9/4638 ,  G06K2209/01 ,  G06T7/13 ,  G06T7/181 ,  G06T2207/10004

摘要： As set forth herein, systems and methods facilitate providing an efficient edge-detection and closed-contour based approach for finding text in natural scenes such as photographic images, digital, and/or electronic images, and the like. Edge information (e.g., edges of structures or objects in the images) is obtained via an edge detection technique. Edges from text characters form closed contours even in the presence of reasonable levels of noise. Closed contour linking and candidate text line formation are two additional features of the described approach. A candidate text line classifier is applied to further screen out false-positive text identifications. Candidate text regions for placement of text in the natural scene of the electronic image are highlighted and presented to a user.

摘要翻译： 如本文所述，系统和方法有助于提供有效的边缘检测和基于闭合轮廓的方法，用于在诸如照相图像，数字和/或电子图像等的自然场景中查找文本。 通过边缘检测技术获得边缘信息（例如，图像中的结构或对象的边缘）。 即使存在合理的噪声水平，文本字符的边缘也会形成封闭的轮廓。 闭合轮廓链接和候选文本线形成是所述方法的两个附加特征。 应用候选文本行分类器进一步筛选出假阳性文本标识。 用于在电子图像的自然场景中放置文本的候选文本区域被突出显示并呈现给用户。

公开(公告)号：US08619074B2

公开(公告)日：2013-12-31

申请号：US12964820

申请日：2010-12-10

申请人： Raja Bala ,  Zhigang Fan ,  Reiner Eschbach ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

发明人： Raja Bala ,  Zhigang Fan ,  Reiner Eschbach ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

IPC分类号： G06T15/00

CPC分类号： G06T11/60 ,  G06T15/04 ,  G06T19/00

摘要： As set forth herein, a computer-implemented method facilitates replacing text on cylindrical or curved surfaces in images. For instance, the user is first asked to perform a multi-click selection of a polygon to bound the text. A triangulation scheme is carried out to identify the pixels. Segmentation and erasing algorithms are then applied. The ellipses are estimated accurately through constrained least squares fitting. A 3D framework for rendering the text, including the central projection pinhole camera model and specification of the cylindrical object, is generated. These parameters are jointly estimated from the fitted ellipses as well as the two vertical edges of the cylinder. The personalized text is wrapped around the cylinder and subsequently rendered.

摘要翻译： 如本文所述，计算机实现的方法有助于在图像中的圆柱形或弯曲表面上替换文本。 例如，首先要求用户执行多边形的多点选择以绑定文本。 进行三角测量方案来识别像素。 然后应用分割和擦除算法。 通过约束最小二乘拟合精确估计椭圆。 生成用于呈现文本的3D框架，包括中心投影针孔相机模型和圆柱形对象的规格。 这些参数是从安装的椭圆以及气缸的两个垂直边缘共同估计的。 个性化文字包裹在圆柱体上并随后呈现。

公开(公告)号：US20130182946A1

公开(公告)日：2013-07-18

申请号：US13349751

申请日：2012-01-13

申请人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman ,  Reuven J. Sherwin

发明人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman ,  Reuven J. Sherwin

IPC分类号： G06K9/46 ,  G06K9/62

CPC分类号： G06K9/00671 ,  G06K9/3258

摘要： As set forth herein, a computer-implemented method facilitates pre-analyzing an image and automatically suggesting to the user the most suitable regions within an image for text-based personalization. Image regions that are spatially smooth and regions with existing text (e.g. signage, banners, etc.) are primary candidates for personalization. This gives rise to two sets of corresponding algorithms: one for identifying smooth areas, and one for locating text regions. Smooth regions are found by dividing the image into blocks and applying an iterative combining strategy, and those regions satisfying certain spatial properties (e.g. size, position, shape of the boundary) are retained as promising candidates. In one embodiment, connected component analysis is performed on the image for locating text regions. Finally, based on the smooth and text regions found in the image, several alternative approaches are described herein to derive an overall metric for “suitability for personalization.”

摘要翻译： 如本文所述，计算机实现的方法有助于预分析图像并且自动地向用户建议图像内的最合适的区域用于基于文本的个性化。 具有空间平滑的图像区域和具有现有文本的区域（例如标牌，横幅等）是用于个性化的主要候选者。 这产生了两组相应的算法：一种用于识别平滑区域，一种用于定位文本区域。 通过将图像划分成块并应用迭代组合策略来找到平滑区域，并且满足某些空间属性（例如，边界的大小，位置，形状）的那些区域被保留为有希望的候选者。 在一个实施例中，对用于定位文本区域的图像执行连接分量分析。 最后，基于图像中发现的平滑和文本区域，本文描述了几种替代方法，以得出“适合个性化”的总体度量。

公开(公告)号：US08837830B2

公开(公告)日：2014-09-16

申请号：US13494173

申请日：2012-06-12

申请人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

发明人： Raja Bala ,  Zhigang Fan ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

IPC分类号： G06K9/34

CPC分类号： G06K9/4604 ,  G06K9/3258 ,  G06K9/4638 ,  G06K2209/01 ,  G06T7/13 ,  G06T7/181 ,  G06T2207/10004

摘要： As set forth herein, systems and methods facilitate providing an efficient edge-detection and closed-contour based approach for finding text in natural scenes such as photographic images, digital, and/or electronic images, and the like. Edge information (e.g., edges of structures or objects in the images) is obtained via an edge detection technique. Edges from text characters form closed contours even in the presence of reasonable levels of noise. Closed contour linking and candidate text line formation are two additional features of the described approach. A candidate text line classifier is applied to further screen out false-positive text identifications. Candidate text regions for placement of text in the natural scene of the electronic image are highlighted and presented to a user.

摘要翻译： 如本文所述，系统和方法有助于提供有效的边缘检测和基于闭合轮廓的方法，用于在诸如照相图像，数字和/或电子图像等的自然场景中查找文本。 通过边缘检测技术获得边缘信息（例如，图像中的结构或对象的边缘）。 即使存在合理的噪声水平，文本字符的边缘也会形成封闭的轮廓。 闭合轮廓链接和候选文本线形成是所述方法的两个附加特征。 应用候选文本行分类器进一步筛选出假阳性文本标识。 用于在电子图像的自然场景中放置文本的候选文本区域被突出显示并呈现给用户。

公开(公告)号：US20120146991A1

公开(公告)日：2012-06-14

申请号：US12964820

申请日：2010-12-10

申请人： Raja Bala ,  Zhigang Fan ,  Reiner Eschbach ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

发明人： Raja Bala ,  Zhigang Fan ,  Reiner Eschbach ,  Hengzhou Ding ,  Jan P. Allebach ,  Charles A. Bouman

IPC分类号： G06T15/00

CPC分类号： G06T11/60 ,  G06T15/04 ,  G06T19/00

摘要： As set forth herein, a computer-implemented method facilitates replacing text on cylindrical or curved surfaces in images. For instance, the user is first asked to perform a multi-click selection of a polygon to bound the text. A triangulation scheme is carried out to identify the pixels. Segmentation and erasing algorithms are then applied. The ellipses are estimated accurately through constrained least squares fitting. A 3D framework for rendering the text, including the central projection pinhole camera model and specification of the cylindrical object, is generated. These parameters are jointly estimated from the fitted ellipses as well as the two vertical edges of the cylinder. The personalized text is wrapped around the cylinder and subsequently rendered.

摘要翻译： 如本文所述，计算机实现的方法有助于在图像中的圆柱形或弯曲表面上替换文本。 例如，首先要求用户执行多边形的多点选择以绑定文本。 进行三角测量方案来识别像素。 然后应用分割和擦除算法。 通过约束最小二乘拟合精确估计椭圆。 生成用于呈现文本的3D框架，包括中心投影针孔相机模型和圆柱形对象的规格。 这些参数是从安装的椭圆以及气缸的两个垂直边缘共同估计的。 个性化文字包裹在圆柱体上并随后呈现。