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公开(公告)号：US20140140633A1
公开(公告)日：2014-05-22
申请号：US13682201
申请日：2012-11-20
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Jue Wang , Sunghyun Cho , Libin Sun
IPC: G06K9/40
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对象移动，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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公开(公告)号：US20130287318A1
公开(公告)日：2013-10-31
申请号：US13871521
申请日：2013-04-26
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Elya Shechtman , Jue Wang , Hyunjoon Lee , Seungyong Lee
IPC: G06T3/60
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.
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公开(公告)号：US10055898B1
公开(公告)日：2018-08-21
申请号：US15439767
申请日：2017-02-22
Applicant: Adobe Systems Incorporated
Inventor： Jue Wang , Zhaopeng Cui , Oliver Wang
Abstract: Multi-video registration for video synthesis is described. In example implementations, at least one computing device synthesizes multiple videos to create merged images using an automated mechanism to register the multiple videos. The computing device obtains multiple videos with each video including a sequence of multiple frames. Using multiple camera poses determined in a three-dimensional scene reconstruction, respective frames of respective ones of the multiple videos are linked to produce linked frames. The computing device aligns the linked frames to produce aligned frames using point guidance that is based on the multiple spatial points identified in the 3D scene reconstruction. For example, pixels in each of the linked frames that correspond to a same spatial point of the three-dimensional scene reconstruction can be used to align the linked frames at a pixel level. Based on the aligned frames, the computing device creates at least one merged image to synthesize the multiple videos.
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公开(公告)号：US20180121767A1
公开(公告)日：2018-05-03
申请号：US15341875
申请日：2016-11-02
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Oliver Wang , Jue Wang , Shuochen Su
CPC classification number: G06N3/08 , G06K9/6256 , G06K9/6262 , G06N3/04 , G06T5/003 , G06T5/50 , G06T11/60 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/20201 , G06T2207/20221
Abstract: Methods and systems are provided for deblurring images. A neural network is trained where the training includes selecting a central training image from a sequence of blurred images. An earlier training image and a later training image are selected based on the earlier training image preceding the central training image in the sequence and the later training image following the central training image in the sequence and based on proximity of the images to the central training image in the sequence. A training output image is generated by the neural network from the central training image, the earlier training image, and the later training image. Similarity is evaluated between the training output image and a reference image. The neural network is modified based on the evaluated similarity. The trained neural network is used to generate a deblurred output image from a blurry input image.
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公开(公告)号：US09959479B2
公开(公告)日：2018-05-01
申请号：US15641171
申请日：2017-07-03
Applicant: Adobe Systems Incorporated
Inventor： Hyunjoon Lee , Elya Shechtman , Jue Wang
CPC classification number: G06K9/3275 , G06K9/00664
Abstract: Image classification techniques are described for adjustment of an image. In one or more implementations, an image is classified by one or more computing device based on suitability of the image for adjustment to correct perspective distortion of the image. Responsive to a classification of the image as not suitable for the adjustment, suitability of the image is detected for processing by a different image adjustment technique by the one or more computing devices.
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Patent Agency Ranking
公开(公告)号：US20170309003A1
公开(公告)日：2017-10-26
申请号：US15139163
申请日：2016-04-26
Applicant: Adobe Systems Incorporated
Inventor： Steve Christopher Bako , Aliakbar Darabi , Jue Wang , Elya Shechtman , Kalyan K. Sunkavalli
CPC classification number: G06T7/90 , G06K9/18 , G06K9/40 , G06K9/4647 , G06K9/4652 , G06T5/005
Abstract: Techniques for removing artifacts, such as shadows, from document images are described. A shadow map is generated for a digital image by first determining local background colors using clusters of local pixel intensities. Then, a global reference background color is selected from all pixel intensities of the digital image. Next, a per-pixel scaling factor is determined that maps the local background colors to the global reference background color, which applies localized adjustment to the digital image to remove local shadow.
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公开(公告)号：US20170300771A1
公开(公告)日：2017-10-19
申请号：US15641171
申请日：2017-07-03
Applicant: Adobe Systems Incorporated
Inventor： Hyunjoon Lee , Elya Shechtman , Jue Wang
CPC classification number: G06K9/3275 , G06K9/00664
Abstract: Image classification techniques are described for adjustment of an image. In one or more implementations, an image is classified by one or more computing device based on suitability of the image for adjustment to correct perspective distortion of the image. Responsive to a classification of the image as not suitable for the adjustment, suitability of the image is detected for processing by a different image adjustment technique by the one or more computing devices.
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公开(公告)号：US20170132761A1
公开(公告)日：2017-05-11
申请号：US15294194
申请日：2016-10-14
Applicant: Adobe Systems Incorporated
CPC classification number: G06T5/00 , G06K9/46 , G06K9/6215 , G06K2009/4666 , G06T5/003 , G06T5/007 , G06T7/0002 , G06T7/0051 , G06T7/0081 , G06T7/0085 , G06T7/30 , G06T7/80 , G06T7/90 , G06T2207/20112 , G06T2207/20192
Abstract: Methods and systems for dehazing images with increased accuracy and reduced error enhancement. In particular, one or more embodiments estimate a transmission map representing an amount of unscattered light reflected from objects in an input image. One or more embodiments refine the transmission map to obtain transmission information consistent with a depth of the objects in the input image. One or more embodiments also determine a radiance gradient for the input image. One or more embodiments generate an output image from the input image by removing haze based on the refined transmission map and preventing error enhancement based on the determined radiance gradient.
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公开(公告)号：US09646364B1
公开(公告)日：2017-05-09
申请号：US15294194
申请日：2016-10-14
Applicant: Adobe Systems Incorporated
CPC classification number: G06T5/00 , G06K9/46 , G06K9/6215 , G06K2009/4666 , G06T5/003 , G06T5/007 , G06T7/0002 , G06T7/0051 , G06T7/0081 , G06T7/0085 , G06T7/30 , G06T7/80 , G06T7/90 , G06T2207/20112 , G06T2207/20192
Abstract: Methods and systems for dehazing images with increased accuracy and reduced error enhancement. In particular, one or more embodiments estimate a transmission map representing an amount of unscattered light reflected from objects in an input image. One or more embodiments refine the transmission map to obtain transmission information consistent with a depth of the objects in the input image. One or more embodiments also determine a radiance gradient for the input image. One or more embodiments generate an output image from the input image by removing haze based on the refined transmission map and preventing error enhancement based on the determined radiance gradient.
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公开(公告)号：US20170069088A1
公开(公告)日：2017-03-09
申请号：US15357866
申请日：2016-11-21
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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