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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：US09008460B2
公开(公告)日：2015-04-14
申请号：US13871521
申请日：2013-04-26
Applicant: Adobe Systems Incorporated
Inventor： Elya Shechtman , Jue Wang , Hyunjoon Lee , Seungyong Lee
CPC classification number: H04N5/23229 , G06T3/00 , G06T3/608 , G06T5/00 , G06T5/006 , G06T7/80 , G06T15/20
Abstract: Techniques and apparatus for automatic upright adjustment of digital images. An automatic upright adjustment technique is described that may provide an automated approach for straightening up slanted features in an input image to improve its perceptual quality. This correction may be referred to as upright adjustment. A set of criteria based on human perception may be used in the upright adjustment. A reprojection technique that implements an optimization framework is described that yields an optimal homography for adjustment based on the criteria and adjusts the image according to new camera parameters generated by the optimization. An optimization-based camera calibration technique is described that simultaneously estimates vanishing lines and points as well as camera parameters for an image; the calibration technique may, for example, be used to generate estimates of camera parameters and vanishing points and lines that are input to the reprojection technique.
Abstract translation: 用于数字图像自动竖直调整的技术和设备。 描述了自动立式调节技术，其可以提供用于矫正输入图像中的倾斜特征的自动化方法，以提高其感知质量。 这种校正可以被称为直立调节。 可以在直立式调整中使用基于人类感知的一组标准。 描述了实现优化框架的重投影技术，其基于标准产生用于调整的最佳单应性，并且根据由优化生成的新的相机参数来调整图像。 描述了基于优化的相机校准技术，其同时估计图像的消失线和点以及相机参数; 例如，校准技术可以用于生成输入到重投影技术的相机参数和消失点和线的估计。
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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：US20180082401A1
公开(公告)日：2018-03-22
申请号：US15268299
申请日：2016-09-16
Applicant: Adobe Systems Incorporated
CPC classification number: G06T3/0093 , G06T3/4038 , G06T11/60 , G06T2210/12
Abstract: The present disclosure is directed toward systems and method for warping a panoramic image to fit a predetermined shape using content-unaware warping techniques. For example, systems and methods described herein involve generating a mesh grid for a panoramic image with skewed edges by sampling boundary points around edges of the panoramic image and interpolated interior vertex points from the boundary points. Further, systems and methods described herein involve warping the mesh grid and underlying pixels of the panoramic image to fit a predetermined boundary. Further, systems and methods described herein involve generating the mesh grid and warping the panoramic image without consideration of content included therein and without overly-warping individual cells of the mesh grid and underlying pixels of the panoramic image.
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公开(公告)号：US09569866B2
公开(公告)日：2017-02-14
申请号：US14643630
申请日：2015-03-10
Applicant: Adobe Systems Incorporated
CPC classification number: G06T11/203 , G06T7/12 , G06T7/149 , G06T7/246 , G06T7/60 , G06T11/001 , G06T15/005 , G06T15/10 , G06T2200/04 , G06T2207/10016 , G06T2207/10024 , G06T2207/20096 , G06T2207/20192 , G06T2210/12
Abstract: Techniques involving flexible video object boundary tracking are described. One or more curves, such as Bezier curves, are received as drawn by a user on an initial frame of video to define a boundary of an object in the frame. The curves are then mapped to a subsequent or previous frame of the video where the object is included but has a new or changed boundary. A segmentation boundary is determined for the object in the subsequent frame and endpoints of segments of the curves are snapped to the segmentation boundary. Additionally, confidence values are determined for subregions of the frame that include portions of the curves. These confidence values are used to update control points on the curve segments to fit the curve segments to the new or changed boundary of the object in the frame.
Abstract translation: 描述了涉及灵活视频对象边界跟踪的技术。 一个或多个曲线，例如Bezier曲线，由用户在视频的初始帧上绘制，以定义帧中的对象的边界。 然后将曲线映射到包含对象的视频的后续或前一帧，但具有新的或改变的边界。 为后续帧中的对象确定分割边界，并且将曲线的段的端点捕捉到分割边界。 另外，对包括曲线部分的帧的子区域确定置信度值。 这些置信度值用于更新曲线段上的控制点，以将曲线段拟合到框架中对象的新边界或更改的边界。
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Patent Agency Ranking
公开(公告)号：US20160239945A1
公开(公告)日：2016-08-18
申请号：US14624116
申请日：2015-02-17
Applicant: Adobe Systems Incorporated
Inventor： Jianchao Yang , Jue Wang
CPC classification number: G06T3/40 , G06T5/003 , G06T5/10 , G06T2207/10024
Abstract: Techniques are disclosed for removing haze from an image or video by constraining the medium transmission used in a haze image formation model. In particular, a de-hazed scene, which is a function of a medium transmission, is constrained to be greater than or equal to a fractionally scaled variant of the input image. The degree to which the input image is scaled can be selected manually or by using machine learning techniques on a pixel-by-pixel basis to achieve visually pleasing results. Next, the constrained medium transmission is filtered to be locally smooth with sharp discontinuities along image edge boundaries to preserve scene depth. This filtering results in a prior probability distribution that can be used for haze removal in an image or video frame. The input image is converted to gamma decoded sRGB linear space prior to haze removal, and gamma encoded into sRGB space after haze removal.
Abstract translation: 公开了通过限制在雾度图像形成模型中使用的介质传输来从图像或视频中去除雾度的技术。 特别地，作为中等传输的函数的去雾化场景被限制为大于或等于输入图像的分数缩放变体。 可以手动选择输入图像的缩放程度，或者通过逐个像素地使用机器学习技术来获得视觉上令人满意的结果。 接下来，受限介质传输被过滤以局部平滑，沿着边缘边缘具有尖锐的不连续性，以保持场景深度。 该过滤导致可用于图像或视频帧中的雾度去除的先验概率分布。 在去除雾度之前，将输入图像转换为伽玛解码的sRGB线性空间，并在除去雾度之后将伽马编码为sRGB空间。
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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：US09098885B2
公开(公告)日：2015-08-04
申请号：US13871597
申请日：2013-04-26
Applicant: Adobe Systems Incorporated
Inventor： Elya Shechtman , Jue Wang , Hyunjoon Lee , Seungyong Lee
CPC classification number: H04N5/23229 , G06T3/00 , G06T3/608 , G06T5/00 , G06T5/006 , G06T7/80 , G06T15/20
Abstract: Techniques and apparatus for automatic upright adjustment of digital images. An automatic upright adjustment technique is described that may provide an automated approach for straightening up slanted features in an input image to improve its perceptual quality. This correction may be referred to as upright adjustment. A set of criteria based on human perception may be used in the upright adjustment. A reprojection technique that implements an optimization framework is described that yields an optimal homography for adjustment based on the criteria and adjusts the image according to new camera parameters generated by the optimization. An optimization-based camera calibration technique is described that simultaneously estimates vanishing lines and points as well as camera parameters for an image; the calibration technique may, for example, be used to generate estimates of camera parameters and vanishing points and lines that are input to the reprojection technique.
Abstract translation: 用于数字图像自动竖直调整的技术和设备。 描述了自动立式调节技术，其可以提供用于矫正输入图像中的倾斜特征的自动化方法，以提高其感知质量。 这种校正可以被称为直立调节。 可以在直立式调整中使用基于人类感知的一组标准。 描述了实现优化框架的重投影技术，其基于标准产生用于调整的最佳单应性，并且根据由优化生成的新的相机参数来调整图像。 描述了基于优化的相机校准技术，其同时估计图像的消失线和点以及相机参数; 例如，校准技术可以用于生成输入到重投影技术的相机参数和消失点和线的估计。
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公开(公告)号：US09076205B2
公开(公告)日：2015-07-07
申请号：US13680952
申请日：2012-11-19
Applicant: Adobe Systems Incorporated
Inventor： Sunghyun Cho , Jue Wang , Lin Zhong
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. Based on the blur kernel and the blurred input image, a de-blurred image is generated. The blur kernel is generated based on the direction of edges identified in the blurred input image and/or based on curves having a high curvature identified in the image (e.g., corners identified in the image).
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。 基于模糊内核和模糊输入图像，生成去模糊图像。 基于在模糊输入图像中识别的边缘的方向和/或基于在图像中识别的具有高曲率的曲线（例如，图像中标识的角），生成模糊核。
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