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公开(公告)号：US09576220B2
公开(公告)日：2017-02-21
申请号：US15045070
申请日：2016-02-16
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Sunghyun Cho , Jue Wang , Jen-Chan Chien , Dong Feng
CPC classification number: G06K9/52 , G06K9/6218 , G06K2009/4666 , G06T5/00 , G06T5/003 , G06T7/60 , G06T2207/20024 , G06T2207/20048 , G06T2207/20172 , G06T2207/20192
Abstract: A computer-implemented method and apparatus are described for deblurring an image. The method may include accessing the image that has at least one blurred region and, automatically, without user input, determining a first value for a first size for a blur kernel for the at least one blurred region. Thereafter, automatically, without user input, a second value for a second size for the blur kernel is determined for the at least one blurred region. A suggested size for the blur kernel is then determined based on the first value and the second value.
Abstract translation: 描述了用于去图像的计算机实现的方法和装置。 该方法可以包括访问具有至少一个模糊区域的图像，并且在没有用户输入的情况下，自动确定用于至少一个模糊区域的模糊核心的第一尺寸的第一值。 此后，自动地，在没有用户输入的情况下，为至少一个模糊区域确定用于模糊核的第二大小的第二值。 然后基于第一值和第二值确定模糊内核的建议大小。
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公开(公告)号：US20140341468A1
公开(公告)日：2014-11-20
申请号：US14451180
申请日：2014-08-04
Applicant: Adobe Systems Incorporated
Inventor： Sylvain P. Paris , Jen-Chan Chien , Eric Chan
CPC classification number: G06T5/008 , G06F3/04845 , G06T5/007 , G06T5/40 , G06T5/50 , G06T11/001 , G06T2207/10024 , G06T2207/20092 , G06T2207/20192 , G06T2207/20208 , G06T2207/20221 , H04N1/6027 , H04N19/30
Abstract: Methods, apparatus, and computer-readable storage media for tone mapping High Dynamic Range (HDR) images. An input HDR image is separated into luminance and color. Luminance is processed to obtain a base layer and a detail layer. The base layer is compressed according to a non-linear remapping function to reduce the dynamic range, and the detail layer is adjusted. The layers are combined to generate output luminance, and the output luminance and color are combined to generate an output image. A base layer compression technique may be used that analyzes the details and compresses the base layer accordingly to provide space at the top of the intensity scale where the details are displayed to thus generate output images that are visually better than images generated using conventional techniques. User interface elements may be provided via which a user may control one or more parameters of the tone mapping method.
Abstract translation: 用于色调映射高动态范围（HDR）图像的方法，装置和计算机可读存储介质。 输入HDR图像被分成亮度和颜色。 处理亮度以获得基层和细节层。 根据非线性重映射功能对基本层进行压缩以减小动态范围，调整细节层。 这些层被组合以产生输出亮度，并且输出亮度和颜色被组合以产生输出图像。 可以使用基层压缩技术，其分析细节并相应地压缩基层，以在显示细节的强度标度的顶部提供空间，从而生成视觉上优于使用常规技术产生的图像的输出图像。 可以提供用户界面元素，用户可以经由该用户界面元素来控制色调映射方法的一个或多个参数。
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23.发明申请Metadata-Driven Method and Apparatus for Constraining Solution Space in Image Processing Techniques 审中-公开用于在图像处理技术中约束解空间的元数据驱动方法和装置公开(公告)号：US20130089262A1
公开(公告)日：2013-04-11
申请号：US13683166
申请日：2012-11-21
Applicant: Adobe Systems Incorporated
Inventor： Simon Chen , Jen-Chan Chien , Hailin Jin
IPC: G06K9/62
CPC classification number: G06T5/002 , G06K9/6201 , G06T3/0093 , H04N1/32101 , H04N5/2173 , H04N5/23229 , H04N5/23238 , H04N5/2353 , H04N5/2355 , H04N2201/3252
Abstract: Methods and apparatus for constraining solution space in image processing techniques may use the metadata for a set of images to constrain an image processing solution to a smaller solution space. In one embodiment, a process may require N parameters for processing an image. A determination may be made from metadata that multiple images were captured with the same camera/lens and with the same settings. A set of values may be estimated for the N parameters from data in one or more of the images. The process may then be applied to each of images using the set of values. In one embodiment, a value for a parameter of a process may be estimated for an image. If the estimated value deviates substantially from a value for the parameter in the metadata, the metadata value is used in the process instead of the estimated value.
Abstract translation: 在图像处理技术中约束解空间的方法和装置可以使用一组图像的元数据来将图像处理解决方案约束到较小的解空间。 在一个实施例中，过程可能需要用于处理图像的N个参数。 可以从元数据确定使用相同的相机/镜头并以相同的设置捕获多个图像。 可以根据一个或多个图像中的数据为N个参数估计一组值。 然后可以使用该组值将该过程应用于每个图像。 在一个实施例中，可以针对图像估计处理的参数的值。 如果估计值实质上偏离元数据中的参数的值，则在过程中使用元数据值而不是估计值。
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公开(公告)号：US10032258B2
公开(公告)日：2018-07-24
申请号：US15452620
申请日：2017-03-07
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Sunghyun Cho , Jue Wang , Jen-Chan Chien , Dong Feng
Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed towards automatic selection of regions for blur kernel estimation. In one embodiment, a process divides a blurred image into a regions. From these regions a first region and a second region can be selected based on a number of edge orientations within the selected regions. A first blur kernel can then be estimated based on the first region and a second blur kernel can be estimated for the second region. The first and second blur kernel can then be utilized to respectively deblur a first and second portion of the image to produce a deblurred image. Other embodiments may be described and/or claimed.
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公开(公告)号：US20170053365A1
公开(公告)日：2017-02-23
申请号：US14827583
申请日：2015-08-17
Applicant: Adobe Systems Incorporated
Inventor： Zeke Koch , Baldo Faieta , Jen-Chan Chien , Mark M. Randall , Olivier Sirven , Philipp Koch , Dennis G. Nicholson
IPC: G06Q50/18
CPC classification number: G06Q50/184
Abstract: Content creation suggestion techniques are described. In one or more implementations, techniques are implemented to generate suggestions that are usable to guide creative professionals in the creation of content such as images, video, sound, multimedia, and so forth. A variety of techniques are usable to generate suggestions for the content professionals. In a first such example, suggestions are based on shared characteristics of images obtained by users of a content sharing service, e.g., licensed by the users. In another example, suggestions are generated by the content sharing service based on keywords used to locate the images. In a further example, suggestions are generated based on data described communications performed using social network services. In yet another example, recognition of failure of search is used to generate suggestions. A variety of other examples are also contemplated and described herein.
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Patent Agency Ranking
公开(公告)号：US20170053103A1
公开(公告)日：2017-02-23
申请号：US14828085
申请日：2015-08-17
Applicant: Adobe Systems Incorporated
Inventor： Zeke Koch , Baldo Faieta , Jen-Chan Chien , Mark M. Randall , Olivier Sirven , Philipp Koch , Dennis G. Nicholson
Abstract: Image search persona techniques and systems are described. In one or more implementations, a digital medium environment is described for controlling image searches by one or more computing devices. An image search request and an indication of one or more personas of one or more respective users associated with the image search request is received by the one or more computing devices. The one or more personas specify characteristics of the one or more respective users themselves. A plurality of images are obtained by the one or more computing devices based on the image search request. The plurality of images are filtered by the one or more computing devices based on the one or more personas and a search result is generated by the one or more computing devices from the filtered plurality of images.
Abstract translation: 描述了图像搜索人物技术和系统。 在一个或多个实现中，描述了一种用于控制一个或多个计算设备的图像搜索的数字媒体环境。 图像搜索请求和与图像搜索请求相关联的一个或多个相应用户的一个或多个角色的指示由一个或多个计算设备接收。 该一个或多个角色指定一个或多个相应用户本身的特征。 基于图像搜索请求，通过一个或多个计算设备获得多个图像。 所述多个图像由所述一个或多个计算设备基于所述一个或多个角色进行过滤，并且所述一个或多个计算设备从所述被过滤的多个图像生成搜索结果。
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公开(公告)号：US09349165B2
公开(公告)日：2016-05-24
申请号：US14061131
申请日：2013-10-23
Applicant: Adobe Systems Incorporated
Inventor： Sunghyun Cho , Jue Wang , Jen-Chan Chien , Dong Feng
CPC classification number: G06T5/003 , G06T5/20 , G06T11/001 , G06T2207/10024 , G06T2207/20192 , G06T2207/20201 , G06T2207/20221
Abstract: A computer-implemented method and apparatus are described for automatically selecting a region in a blurred image for blur kernel estimation. The method may include accessing a blurred image and defining a size for each of a plurality of regions in the image. Thereafter, metrics for at least two of the plurality of regions are determined, wherein the metrics are based on a number of edge orientations within each region. A region is selected from the plurality of regions based on the determined metrics, and a blur kernel for deblurring the blurred image is then estimated for the selected region. The blurred image is then deblurred using the blur kernel.
Abstract translation: 描述了用于自动选择模糊图像中的区域以进行模糊核估计的计算机实现的方法和装置。 该方法可以包括访问模糊图像并且为图像中的多个区域中的每一个定义大小。 此后，确定多个区域中的至少两个的度量，其中度量基于每个区域内的边缘取向的数量。 基于所确定的度量，从多个区域中选择区域，然后针对所选择的区域估计用于去模糊模糊图像的模糊核心。 然后使用模糊内核去除模糊的图像。
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公开(公告)号：US09299132B2
公开(公告)日：2016-03-29
申请号：US14061098
申请日：2013-10-23
Applicant: Adobe Systems Incorporated
Inventor： Sunghyun Cho , Jue Wang , Jen-Chan Chien , Dong Feng
CPC classification number: G06K9/52 , G06K9/6218 , G06K2009/4666 , G06T5/00 , G06T5/003 , G06T7/60 , G06T2207/20024 , G06T2207/20048 , G06T2207/20172 , G06T2207/20192
Abstract: A computer-implemented method and apparatus are described for deblurring an image. The method may include accessing the image that has at least one blurred region and, automatically, without user input, determining a first value for a first size for a blur kernel for the at least one blurred region. Thereafter, automatically, without user input, a second value for a second size for the blur kernel is determined for the at least one blurred region. A suggested size for the blur kernel is then determined based on the first value and the second value.
Abstract translation: 描述了用于去图像的计算机实现的方法和装置。 该方法可以包括访问具有至少一个模糊区域的图像，并且在没有用户输入的情况下，自动确定用于至少一个模糊区域的模糊核心的第一尺寸的第一值。 此后，自动地，在没有用户输入的情况下，为至少一个模糊区域确定用于模糊核的第二大小的第二值。 然后基于第一值和第二值确定模糊内核的建议大小。
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公开(公告)号：US08787659B2
公开(公告)日：2014-07-22
申请号：US13958469
申请日：2013-08-02
Applicant: Adobe Systems Incorporated
Inventor： Sylvain P. Paris , Jen-Chan Chien , Vladimir L. Bychkovsky
CPC classification number: G06K9/6256 , G06F17/30247 , G06K9/00624 , G06T1/20 , G06T5/00 , G06T2207/20081
Abstract: Techniques are disclosed relating to generating generic labels, translating generic labels to image pipeline-specific labels, and automatically adjusting images. In one embodiment, generic labels may be generated. Generic algorithm parameters may be generated based on training a regression algorithm with the generic labels. The generic labels may be translated to pipeline-specific labels, which may be usable to automatically adjust an image.
Abstract translation: 公开了关于生成通用标签，将通用标签翻译成图像流水线专用标签以及自动调整图像的技术。 在一个实施例中，可以生成通用标签。 可以基于使用通用标签训练回归算法来生成通用算法参数。 通用标签可以被转换为特定于流水线的标签，这可以用于自动调整图像。
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30.发明授权Metadata-driven method and apparatus for constraining solution space in image processing techniques 有权用于在图像处理技术中约束解空间的元数据驱动方法和装置公开(公告)号：US08675988B2
公开(公告)日：2014-03-18
申请号：US13683966
申请日：2012-11-21
Applicant: Adobe Systems Incorporated
Inventor： Simon Chen , Jen-Chan Chien , Hailin Jin
IPC: G06K9/40
CPC classification number: G06T5/002 , G06K9/6201 , G06T3/0093 , H04N1/32101 , H04N5/2173 , H04N5/23229 , H04N5/23238 , H04N5/2353 , H04N5/2355 , H04N2201/3252
Abstract: Methods and apparatus for constraining solution space in image processing techniques may use the metadata for a set of images to constrain an image processing solution to a smaller solution space. In one embodiment, a process may require N parameters for processing an image. A determination may be made from metadata that multiple images were captured with the same camera/lens and with the same settings. A set of values may be estimated for the N parameters from data in one or more of the images. The process may then be applied to each of images using the set of values. In one embodiment, a value for a parameter of a process may be estimated for an image. If the estimated value deviates substantially from a value for the parameter in the metadata, the metadata value is used in the process instead of the estimated value.
Abstract translation: 在图像处理技术中约束解空间的方法和装置可以使用一组图像的元数据来将图像处理解决方案约束到较小的解空间。 在一个实施例中，过程可能需要用于处理图像的N个参数。 可以从元数据确定使用相同的相机/镜头并以相同的设置捕获多个图像。 可以根据一个或多个图像中的数据为N个参数估计一组值。 然后可以使用该组值将该过程应用于每个图像。 在一个实施例中，可以针对图像估计处理的参数的值。 如果估计值实质上偏离元数据中的参数的值，则在过程中使用元数据值而不是估计值。
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