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公开(公告)号：US09208543B2
公开(公告)日：2015-12-08
申请号：US14061068
申请日：2013-10-23
Applicant: Adobe Systems Incorporated
Inventor： Jue Wang , Sunghyun Cho , Jen-Chan Chien , Dong Feng
CPC classification number: G06T5/003 , G06T5/20 , G06T7/11 , G06T2207/10004 , G06T2207/20012
Abstract: A computer-implemented method and system are described for deblurring an image. The method may include accessing an image having a first blurred region and a second blurred region, and generating a first blur kernel for the first blurred region and a second blur kernel for the second blurred region. Thereafter, the first blur kernel is positioned with respect to the first blurred region, and the second blur kernel is positioned with respect to the second blurred region based on the position of the first blur kernel. The image is then deblurred by deconvolving the first blurred region with the first blur kernel, and deconvolving the second blurred region with the second blur kernel.
Abstract translation: 描述了用于去图像的计算机实现的方法和系统。 该方法可以包括访问具有第一模糊区域和第二模糊区域的图像，以及为第一模糊区域生成第一模糊核心以及为第二模糊区域生成第二模糊核心。 此后，第一模糊核相对于第一模糊区域定位，并且第二模糊核基于第一模糊核的位置相对于第二模糊区域定位。 然后通过用第一模糊核心对第一模糊区域进行去卷积去除图像，并用第二模糊核心解卷积第二模糊区域。
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公开(公告)号：US09466096B2
公开(公告)日：2016-10-11
申请号：US14937395
申请日：2015-11-10
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Jue Wang , Sunghyun Cho , Jen-Chan Chien , Dong Feng
CPC classification number: G06T5/003 , G06T5/20 , G06T7/11 , G06T2207/10004 , G06T2207/20012
Abstract: A computer-implemented method and system are described for deblurring an image. The method may include accessing an image having a first blurred region and a second blurred region, and generating a first blur kernel for the first blurred region and a second blur kernel for the second blurred region. Thereafter, the first blur kernel is positioned with respect to the first blurred region, and the second blur kernel is positioned with respect to the second blurred region based on the position of the first blur kernel. The image is then deblurred by deconvolving the first blurred region with the first blur kernel, and deconvolving the second blurred region with the second blur kernel.
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公开(公告)号：US20160267629A1
公开(公告)日：2016-09-15
申请号：US15161073
申请日：2016-05-20
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: 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.
Abstract translation: 本发明的实施例提供了针对模糊核估计的区域的自动选择的系统，方法和计算机存储介质。 在一个实施例中，过程将模糊图像划分为区域。 可以从这些区域中，基于所选择的区域内的多个边缘取向来选择第一区域和第二区域。 然后可以基于第一区域估计第一模糊核，并且可以为第二区域估计第二模糊核。 然后可以利用第一和第二模糊核来分别去除图像的第一和第二部分以产生去模糊图像。 可以描述和/或要求保护其他实施例。
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公开(公告)号：US20150147047A1
公开(公告)日：2015-05-28
申请号：US14091658
申请日：2013-11-27
Applicant: Adobe Systems Incorporated
Inventor： Jue Wang , Sunghyun Cho , Shuaicheng Liu
CPC classification number: H04N5/2621 , G06T5/003 , G06T5/50 , G06T2207/10016 , G06T2207/20201 , G11B27/02
Abstract: A simulated tracking shot is generated from an image sequence in which a foreground feature moves relative to a background during capturing of the image sequence. The background is artificially blurred in the simulated tracking shot in a spatially-invariant manner corresponding to foreground motion relative to the background during a time span of the image sequence. The foreground feature can be substantially unblurred relative to a reference image selected from the image sequence. A system to generate the simulated tracking shot can be configured to derive spatially invariant blur kernels for a background portion by reconstructing or estimating a 3-D space of the captured scene, placing virtual cameras along a foreground trajectory in the 3-D space, and projecting 3-D background points on to the virtual cameras.
Abstract translation: 在拍摄图像序列期间，前景特征相对于背景移动的图像序列生成模拟跟踪拍摄。 在图像序列的时间跨度期间，在相对于背景的前景运动相应于空间不变方式的模拟跟踪拍摄中，背景被人为地模糊。 相对于从图像序列中选择的参考图像，前景特征可以基本上未被翻转。 用于生成模拟跟踪镜头的系统可以被配置为通过重建或估计所捕获的场景的3-D空间，将虚拟相机沿着3D空间中的前景轨迹放置，从而为背景部分导出空间不变的模糊内核，以及 将3-D背景点投影到虚拟相机。
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Patent Agency Ranking
公开(公告)号：US20150110415A1
公开(公告)日：2015-04-23
申请号：US14061068
申请日：2013-10-23
Applicant: Adobe Systems Incorporated
Inventor： Jue Wang , Sunghyun Cho , Jen-Chan Chien , Dong Feng
IPC: G06T5/00
CPC classification number: G06T5/003 , G06T5/20 , G06T7/11 , G06T2207/10004 , G06T2207/20012
Abstract: A computer-implemented method and system are described for deblurring an image. The method may include accessing an image having a first blurred region and a second blurred region, and generating a first blur kernel for the first blurred region and a second blur kernel for the second blurred region. Thereafter, the first blur kernel is positioned with respect to the first blurred region, and the second blur kernel is positioned with respect to the second blurred region based on the position of the first blur kernel. The image is then deblurred by deconvolving the first blurred region with the first blur kernel, and deconvolving the second blurred region with the second blur kernel.
Abstract translation: 描述了用于去图像的计算机实现的方法和系统。 该方法可以包括访问具有第一模糊区域和第二模糊区域的图像，以及为第一模糊区域生成第一模糊核心以及为第二模糊区域生成第二模糊核心。 此后，第一模糊核相对于第一模糊区域定位，并且第二模糊核基于第一模糊核的位置相对于第二模糊区域定位。 然后通过用第一模糊核心对第一模糊区域进行去卷积去除图像，并用第二模糊核心解卷积第二模糊区域。
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公开(公告)号：US20150110404A1
公开(公告)日：2015-04-23
申请号：US14061131
申请日：2013-10-23
Applicant: Adobe Systems Incorporated
Inventor： Sunghyun Cho , Jue Wang , Jen-Chan Chien , Dong Feng
IPC: G06T5/00
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：US08897588B2
公开(公告)日：2014-11-25
申请号：US13682201
申请日：2012-11-20
Applicant: Adobe Systems Incorporated
Inventor： Jue Wang , Sunghyun Cho , Libin Sun
CPC classification number: G06T5/003 , G06K9/6255
Abstract: An image de-blurring system obtains a blurred input image and generates, based on the blurred input image, a blur kernel. The blur kernel is an indication of how the image capture device was moved and/or how the subject captured in the image moved during image capture, resulting in blur. Based on the blur kernel and the blurred input image, a de-blurred image is generated. The blur kernel is generated based on sharp versions of the blurred input image predicted using a data-driven approach based on a collection of prior edges.
Abstract translation: 图像去模糊系统获得模糊的输入图像，并且基于模糊的输入图像生成模糊核。 模糊内核是图像捕获设备如何被移动的指示和/或在图像捕获期间如何在图像中捕获的图像移动，导致模糊。 基于模糊内核和模糊输入图像，生成去模糊图像。 基于使用基于先前边缘的集合的数据驱动方法预测的模糊输入图像的锐利版本来生成模糊内核。
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28.发明授权公开(公告)号：US08867856B2
公开(公告)日：2014-10-21
申请号：US13674263
申请日：2012-11-12
Applicant: Adobe Systems Incorporated
Inventor： Jue Wang , Sunghyun Cho , Lin Zhong
Abstract: Systems and methods are provided for providing improved de-noising image content by using directional noise filters to accurately estimate a blur kernel from a noisy blurry image. In one embodiment, an image manipulation application applies multiple directional noise filters to an input image to generate multiple filtered images. Each of the directional noise filters has a different orientation with respect to the input image. The image manipulation application determines multiple two-dimensional blur kernels from the respective filtered images. The image manipulation application generates a two-two-dimensional blur kernel for the input image from the two-dimensional blur kernels for the filtered images. The image manipulation application generates a de-blurred version of the input image by executing a de-blurring algorithm based on the two-dimensional blur kernel for the input image.
Abstract translation: 提供了系统和方法，用于通过使用定向噪声滤波器从嘈杂的模糊图像中精确地估计模糊核来提供改进的去噪图像内容。 在一个实施例中，图像处理应用将多个定向噪声滤波器应用于输入图像以生成多个滤波图像。 每个方向噪声滤波器相对于输入图像具有不同的取向。 图像处理应用从相应的滤波图像确定多个二维模糊内核。 图像处理应用程序为来自二维模糊内核的输入图像生成用于滤波图像的二维模糊核心。 图像处理应用程序通过执行基于用于输入图像的二维模糊核心的去模糊算法来生成输入图像的去模糊版本。
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29.发明申请公开(公告)号：US20140133775A1
公开(公告)日：2014-05-15
申请号：US13674263
申请日：2012-11-12
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Jue Wang , Sunghyun Cho , Lin Zhong
IPC: G06T5/00
Abstract: Systems and methods are provided for providing improved de-noising image content by using directional noise filters to accurately estimate a blur kernel from a noisy blurry image. In one embodiment, an image manipulation application applies multiple directional noise filters to an input image to generate multiple filtered images. Each of the directional noise filters has a different orientation with respect to the input image. The image manipulation application determines multiple two-dimensional blur kernels from the respective filtered images. The image manipulation application generates a two-two-dimensional blur kernel for the input image from the two-dimensional blur kernels for the filtered images. The image manipulation application generates a de-blurred version of the input image by executing a de-blurring algorithm based on the two-dimensional blur kernel for the input image.
Abstract translation: 提供了系统和方法，用于通过使用定向噪声滤波器从嘈杂的模糊图像中精确地估计模糊核来提供改进的去噪图像内容。 在一个实施例中，图像处理应用将多个定向噪声滤波器应用于输入图像以生成多个滤波图像。 每个方向噪声滤波器相对于输入图像具有不同的取向。 图像处理应用从相应的滤波图像确定多个二维模糊内核。 图像处理应用程序为来自二维模糊内核的输入图像生成用于滤波图像的二维模糊核心。 图像处理应用程序通过执行基于用于输入图像的二维模糊核心的去模糊算法来生成输入图像的去模糊版本。
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