专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20130120457A1 Methods and Apparatus for Manipulating Images and Objects Within Images 有权
标题翻译：在图像中操纵图像和对象的方法和装置
公开(公告)号：US20130120457A1
公开(公告)日：2013-05-16
申请号：US12714028
申请日：2010-02-26
申请人： Jovan Popovic , Jen-Chan Chien , Chintan Intwala , Sarah A. Kong
发明人： Jovan Popovic , Jen-Chan Chien , Chintan Intwala , Sarah A. Kong
IPC分类号： G09G5/00
CPC分类号： G06T3/0093 , G06T11/60
摘要： Methods and apparatus for manipulating digital images. A warping module is described that enables the manipulation of a surface by selectively deforming portions of the surface while maintaining local rigidity. The user may position multiple control points on a surface to constrain deformation. The user may specify multiple properties (e.g., translation, rotation, depth, and scale) at each control point. A mesh may be overlaid on the surface. The warping module may perform an initialization in which the properties are propagated other vertices in the mesh to generate an initial deformed mesh. The warping module may then perform an iterative optimization operation on the deformed mesh to improve the deformation while retaining local rigidity. Thus, instead of moving every pixel in the surface, the warping module moves or adjusts coordinates of the vertices of the mesh. The surface is then deformed according to the deformed mesh.
摘要翻译：用于操纵数字图像的方法和装置。描述了一种翘曲模块，其能够通过在保持局部刚性的同时选择性地使表面的部分变形来操纵表面。用户可以在表面上放置多个控制点以约束变形。用户可以在每个控制点处指定多个属性（例如，平移，旋转，深度和缩放）。网格可以覆盖在表面上。翘曲模块可以执行初始化，其中属性在网格中传播其他顶点以生成初始变形的网格。然后，翘曲模块可以对变形的网格进行迭代优化操作，以改善变形，同时保持局部刚度。因此，翘曲模块不是移动表面中的每个像素，而是移动或调整网格顶点的坐标。然后根据变形的网格使表面变形。

2. 发明申请

US20130034299A1 Robust Patch Regression based on In-Place Self-similarity for Image Upscaling 有权
标题翻译：基于图像升高的就地自相似性的鲁棒补丁回归
公开(公告)号：US20130034299A1
公开(公告)日：2013-02-07
申请号：US13565411
申请日：2012-08-02
申请人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
发明人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC分类号： G06K9/32
CPC分类号： G06T3/4053
摘要： Methods and systems for image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. The input image is upsampled by a scale factor to obtain an upsampled image intermediate. A result image is estimated based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image, wherein the input image is of a smaller scale than the result image.
摘要翻译：公开了用于图像放大的方法和系统。在一个实施例中，从输入图像获得低频带图像中间体。输入图像由比例因子上采样，以获得上采样图像中间值。至少部分地基于上采样图像中间，低频带图像中间和输入图像来估计结果图像，其中输入图像比结果图像小一些。

3. 发明授权

US09053553B2 Methods and apparatus for manipulating images and objects within images 有权
标题翻译：在图像中操纵图像和物体的方法和装置
公开(公告)号：US09053553B2
公开(公告)日：2015-06-09
申请号：US12714028
申请日：2010-02-26
申请人： Jovan Popović , Jen-Chan Chien , Chintan Intwala , Sarah A. Kong
发明人： Jovan Popović , Jen-Chan Chien , Chintan Intwala , Sarah A. Kong
IPC分类号： G06T15/30 , G06T3/00
CPC分类号： G06T3/0093 , G06T11/60
摘要： Methods and apparatus for manipulating digital images. A warping module is described that enables the manipulation of a surface by selectively deforming portions of the surface while maintaining local rigidity. The user may position multiple control points on a surface to constrain deformation. The user may specify multiple properties (e.g., translation, rotation, depth, and scale) at each control point. A mesh may be overlaid on the surface. The warping module may perform an initialization in which the properties are propagated other vertices in the mesh to generate an initial deformed mesh. The warping module may then perform an iterative optimization operation on the deformed mesh to improve the deformation while retaining local rigidity. Thus, instead of moving every pixel in the surface, the warping module moves or adjusts coordinates of the vertices of the mesh. The surface is then deformed according to the deformed mesh.
摘要翻译：用于操纵数字图像的方法和装置。描述了一种翘曲模块，其能够通过在保持局部刚性的同时选择性地使表面的部分变形来操纵表面。用户可以在表面上放置多个控制点以约束变形。用户可以在每个控制点处指定多个属性（例如，平移，旋转，深度和缩放）。网格可以覆盖在表面上。翘曲模块可以执行初始化，其中属性在网格中传播其他顶点以生成初始变形的网格。然后，翘曲模块可以对变形的网格进行迭代优化操作，以改善变形，同时保持局部刚度。因此，翘曲模块不是移动表面中的每个像素，而是移动或调整网格顶点的坐标。然后根据变形的网格使表面变形。

4. 发明授权

US08705881B2 Motion deblurring for text images 有权
标题翻译：文本图像的运动去模糊
公开(公告)号：US08705881B2
公开(公告)日：2014-04-22
申请号：US13475483
申请日：2012-05-18
申请人： Jue Wang , Hojin Cho , Jen-Chan Chien , Sarah A. Kong , Seungyong Lee
发明人： Jue Wang , Hojin Cho , Jen-Chan Chien , Sarah A. Kong , Seungyong Lee
IPC分类号： G06K9/40 , G06K9/64
CPC分类号： G06T5/003
摘要： Various embodiments of methods and apparatus for motion deblurring in text images are disclosed. In one embodiment, a threshold-based text prediction for a blurred image is generated. A point spread function for the blurred image is estimated. A result of the threshold-based text prediction function is deconvolved based on the point spread function. The generating, estimating, and deconvolving are iterated at a plurality of scales, and a final deconvolution of a result of the iteratively deconvolving is executed.
摘要翻译：公开了用于文本图像中的运动去模糊的方法和装置的各种实施例。在一个实施例中，生成用于模糊图像的基于阈值的文本预测。估计模糊图像的点扩散函数。基于阈值的文本预测函数的结果基于点扩散函数被去卷积。生成，估计和解卷积以多个尺度迭代，并且执行迭代去卷积的结果的最终去卷积。

5. 发明授权

US08687923B2 Robust patch regression based on in-place self-similarity for image upscaling 有权
标题翻译：基于图像放大的就地自相似性的鲁棒贴片回归
公开(公告)号：US08687923B2
公开(公告)日：2014-04-01
申请号：US13565411
申请日：2012-08-02
申请人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
发明人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC分类号： G06K9/32 , G06K9/00
CPC分类号： G06T3/4053
摘要： Methods and systems for image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. The input image is upsampled by a scale factor to obtain an upsampled image intermediate. A result image is estimated based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image, wherein the input image is of a smaller scale than the result image.
摘要翻译：公开了用于图像放大的方法和系统。在一个实施例中，从输入图像获得低频带图像中间体。输入图像由比例因子上采样，以获得上采样图像中间值。至少部分地基于上采样图像中间，低频带图像中间和输入图像来估计结果图像，其中输入图像比结果图像小一些。

6. 发明授权

US08655109B2 Regression-based learning model for image upscaling 有权
标题翻译：基于回归的图像增大学习模型
公开(公告)号：US08655109B2
公开(公告)日：2014-02-18
申请号：US13565334
申请日：2012-08-02
申请人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
发明人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC分类号： G06K9/32 , G06K9/00
CPC分类号： G06T3/4053
摘要： Methods and systems for a regression-based learning model in image upscaling are disclosed. In one embodiment, a set of image patch pairs for each of a set of images is generated. Each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image. A regression model based at least in part on the set of image patch pairs is defined. The regression model represents a gradient of a function of the downscaled lower-resolution image. An image is upscaled based at least in part on the regression model.
摘要翻译：公开了一种基于回归的学习模型在图像放大中的方法和系统。在一个实施例中，生成用于一组图像中的每一个的一组图像补丁对。每个图像补丁对包含自然图像和对应的缩小的较低分辨率图像。定义了至少部分基于图像补丁对集合的回归模型。回归模型表示缩小的较低分辨率图像的函数的梯度。至少部分基于回归模型，图像被放大。

7. 发明申请

US20130034313A1 Regression-Based Learning Model for Image Upscaling 有权
标题翻译：基于回归的图像升高学习模型
公开(公告)号：US20130034313A1
公开(公告)日：2013-02-07
申请号：US13565334
申请日：2012-08-02
申请人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
发明人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC分类号： G06K9/32
CPC分类号： G06T3/4053
摘要： Methods and systems for a regression-based learning model in image upscaling are disclosed. In one embodiment, a set of image patch pairs for each of a set of images is generated. Each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image. A regression model based at least in part on the set of image patch pairs is defined. The regression model represents a gradient of a function of the downscaled lower-resolution image. An image is upscaled based at least in part on the regression model.
摘要翻译：公开了一种基于回归的学习模型在图像放大中的方法和系统。在一个实施例中，生成用于一组图像中的每一个的一组图像补丁对。每个图像补丁对包含自然图像和对应的缩小的较低分辨率图像。定义了至少部分基于图像补丁对集合的回归模型。回归模型表示缩小的较低分辨率图像的函数的梯度。至少部分基于回归模型，图像被放大。

8. 发明申请

US20130034311A1 Denoising and Artifact Removal in Image Upscaling 有权
标题翻译：图像缩放中的去噪和人工去除
公开(公告)号：US20130034311A1
公开(公告)日：2013-02-07
申请号：US13565379
申请日：2012-08-02
申请人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
发明人： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC分类号： G06K9/40
CPC分类号： G06T3/4053
摘要： Methods and systems for denoising and artifact removal in image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. An upsampled image intermediate is obtained from the input image by upsampling. A result image is estimated, based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image. The input image is of a smaller scale than the result image. The estimating the result image further includes eliminating from the result image noise that is present in the input image.
摘要翻译：公开了在图像升高中去除和去除伪影的方法和系统。在一个实施例中，从输入图像获得低频带图像中间体。通过上采样从输入图像获得上采样图像中间值。至少部分地基于上采样图像中间，低频带图像中间和输入图像来估计结果图像。输入图像的尺寸小于结果图像。估计结果图像还包括消除输入图像中存在的结果图像噪声。

9. 发明授权

US08023768B2 Universal front end for masks, selections, and paths 有权
标题翻译：通用前端用于掩码，选择和路径
公开(公告)号：US08023768B2
公开(公告)日：2011-09-20
申请号：US12912589
申请日：2010-10-26
申请人： Gregg D. Wilensky , Jen-Chan Chien , Sarah A. Kong
发明人： Gregg D. Wilensky , Jen-Chan Chien , Sarah A. Kong
IPC分类号： G06K9/20 , G09G5/00 , G06F17/00
CPC分类号： G06T11/60 , G06K9/48 , H04L45/50 , H04L47/10
摘要： A method, system, and computer-readable storage medium are disclosed for editing a digital image with automatic conversion of region modalities. Input comprising an instruction to perform an operation on a first portion of the digital image may be received. The first portion of the digital image may comprise data defined by a first region modality. The operation may be applicable to data defined by a second region modality. In response to receiving the input, the first portion of the digital image may be automatically converted from the first region modality to the second region modality. The operation may be automatically performed on the converted first portion of the digital image (i.e., as defined by the second region modality).
摘要翻译：公开了用于通过区域模态的自动转换来编辑数字图像的方法，系统和计算机可读存储介质。可以接收包括对数字图像的第一部分执行操作的指令的输入。数字图像的第一部分可以包括由第一区域模态定义的数据。该操作可以适用于由第二区域模态定义的数据。响应于接收到输入，数字图像的第一部分可以自动地从第一区域模式转换到第二区域模态。可以对数字图像的转换的第一部分（即，由第二区域模态定义）自动执行操作。

10. 发明申请

US20110038562A1 Universal Front End for Masks, Selections, and Paths 有权
标题翻译：通用前端面具，选择和路径
公开(公告)号：US20110038562A1
公开(公告)日：2011-02-17
申请号：US12912589
申请日：2010-10-26
申请人： Gregg D. Wilensky , Jen-Chan Chien , Sarah A. Kong
发明人： Gregg D. Wilensky , Jen-Chan Chien , Sarah A. Kong
IPC分类号： G06K9/03
CPC分类号： G06T11/60 , G06K9/48 , H04L45/50 , H04L47/10
摘要： A method, system, and computer-readable storage medium are disclosed for editing a digital image with automatic conversion of region modalities. Input comprising an instruction to perform an operation on a first portion of the digital image may be received. The first portion of the digital image may comprise data defined by a first region modality. The operation may be applicable to data defined by a second region modality. In response to receiving the input, the first portion of the digital image may be automatically converted from the first region modality to the second region modality. The operation may be automatically performed on the converted first portion of the digital image (i.e., as defined by the second region modality).
摘要翻译：公开了用于通过区域模态的自动转换来编辑数字图像的方法，系统和计算机可读存储介质。可以接收包括对数字图像的第一部分执行操作的指令的输入。数字图像的第一部分可以包括由第一区域模态定义的数据。该操作可以适用于由第二区域模态定义的数据。响应于接收到输入，数字图像的第一部分可以自动地从第一区域模式转换到第二区域模态。可以对数字图像的转换的第一部分（即，由第二区域模态定义）自动执行操作。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式