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公开(公告)号：US09582855B2
公开(公告)日：2017-02-28
申请号：US14681913
申请日：2015-04-08
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：US20160188998A1
公开(公告)日：2016-06-30
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.
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公开(公告)号：US09367766B2
公开(公告)日：2016-06-14
申请号：US14338216
申请日：2014-07-22
Applicant: Adobe Systems Incorporated
Inventor： Jue Wang , Jianchao Yang , Zhe Lin , Ke Ma
CPC classification number: G06K9/6261 , G06K9/00442 , G06K9/00449 , G06K9/00463 , G06K9/00818 , G06K9/3258 , G06K9/72 , G06T7/11 , H04N1/00331
Abstract: Techniques for detecting and recognizing text may be provided. For example, an image may be analyzed to detect and recognize text therein. The analysis may involve detecting text components in the image. For example, multiple color spaces and multiple-stage filtering may be applied to detect the text components. Further, the analysis may involve extracting text lines based on the text components. For example, global information about the text components can be analyzed to generate best-fitting text lines. The analysis may also involve pruning and splitting the text lines to generate bounding boxes around groups of text components. Text recognition may be applied to the bounding boxes to recognize text therein.
Abstract translation: 可以提供用于检测和识别文本的技术。 例如，可以分析图像以检测和识别其中的文本。 分析可能涉及检测图像中的文本成分。 例如，可以应用多个颜色空间和多级过滤来检测文本分量。 此外，分析可以涉及基于文本成分提取文本行。 例如，可以分析关于文本组件的全局信息，以生成最合适的文本行。 分析还可能涉及修剪和分割文本行以在文本组件组周围生成边界框。 可以将文本识别应用于边界框以识别其中的文本。
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24.发明授权公开(公告)号：US09349164B2
公开(公告)日：2016-05-24
申请号：US14488441
申请日：2014-09-17
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。 图像处理应用为来自二维模糊内核的滤波图像的输入图像生成二维模糊核心。 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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公开(公告)号：US09342869B2
公开(公告)日：2016-05-17
申请号：US14265012
申请日：2014-04-29
Applicant: Adobe Systems Incorporated
Inventor： Yan Wang , Jue Wang , Sunghyun Cho
CPC classification number: G06T5/001 , G06K9/4652 , G06K9/6228 , G06K9/6282 , G06K2009/4666 , G06T2207/20081
Abstract: Methods for enhancing images with increased efficiency include using a discriminative index tree to expedite image optimization processes. The discriminative index tree indexes patch-based image priors for modifying an image by using classifiers determined by exploiting a structure of the patch-based image priors. The discriminative index tree quickly and efficiently parses a space of patch-based image patches to determine approximate dominant patch-based image priors for the space of image patches. To further improve the efficiency of the discriminative index tree, one or more embodiments can limit a number of potential patch-based image priors from which a dominant patch-based image prior is selected.
Abstract translation: 增加效率的图像增强方法包括使用鉴别索引树来加快图像优化过程。 鉴别索引树通过使用通过利用基于补丁的图像先验的结构确定的分类器来索引用于修改图像的基于补丁的图像优先级。 鉴别索引树快速有效地解析基于补丁的图像补丁的空间，以确定图像补丁空间的大致显着的基于补丁的图像先验。 为了进一步提高辨别性索引树的效率，一个或多个实施例可以限制多个潜在的基于补片的图像先验，从中选择基于主要的基于图块的图像先验。
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Patent Agency Ranking
公开(公告)号：US20160077422A1
公开(公告)日：2016-03-17
申请号：US14484939
申请日：2014-09-12
Applicant: Adobe Systems Incorporated
Inventor： Jue Wang , Yan Wang , Sunghyun Cho
CPC classification number: G03B37/04 , H04N5/23206 , H04N5/23222 , H04N5/23238 , H04N5/23293 , H04N5/247
Abstract: Techniques are disclosed for collaborative and synchronized photography across multiple digital camera devices. A panoramic photograph of a scene can be generated from separate photographs taken by each of the cameras simultaneously. During composition, the viewfinder images from each camera are collected and stitched together on the fly to create a panoramic preview image. The panoramic preview is then displayed on the camera devices as live visual guidance, which each user can use to change the orientation of the camera and thus change the composition of the panoramic photograph. In some cases, the host sends visual instructions to other camera devices to guide users in camera adjustment. When the desired composition is achieved, the host sends a trigger command to all of the cameras to take photographs simultaneously. Each of these separate photographs can then be stitched together to form a panoramic photograph.
Abstract translation: 公开了用于跨多个数码相机设备的协同和同步摄影的技术。 场景的全景照片可以由每个摄像机同时拍摄的单独照片生成。 在组合期间，来自每个相机的取景器图像被收集并在飞行中缝合在一起以创建全景预览图像。 然后，全景预览在相机设备上显示为实时视觉指导，每个用户可以使用它们来改变相机的方向，从而改变全景照片的构图。 在某些情况下，主机会向其他相机设备发送可视化指令，以指导用户进行相机调整。 当实现所需的组合时，主机向所有摄像机发送触发命令以同时拍摄照片。 然后将这些单独的照片分别缝合在一起形成全景照片。
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公开(公告)号：US09253415B2
公开(公告)日：2016-02-02
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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公开(公告)号：US20160026899A1
公开(公告)日：2016-01-28
申请号：US14338216
申请日：2014-07-22
Applicant: Adobe Systems Incorporated
Inventor： Jue Wang , Jianchao Yang , Zhe Lin , Ke Ma
CPC classification number: G06K9/6261 , G06K9/00442 , G06K9/00449 , G06K9/00463 , G06K9/00818 , G06K9/3258 , G06K9/72 , G06T7/11 , H04N1/00331
Abstract: Techniques for detecting and recognizing text may be provided. For example, an image may be analyzed to detect and recognize text therein. The analysis may involve detecting text components in the image. For example, multiple color spaces and multiple-stage filtering may be applied to detect the text components. Further, the analysis may involve extracting text lines based on the text components. For example, global information about the text components can be analyzed to generate best-fitting text lines. The analysis may also involve pruning and splitting the text lines to generate bounding boxes around groups of text components. Text recognition may be applied to the bounding boxes to recognize text therein.
Abstract translation: 可以提供用于检测和识别文本的技术。 例如，可以分析图像以检测和识别其中的文本。 分析可能涉及检测图像中的文本成分。 例如，可以应用多个颜色空间和多级过滤来检测文本分量。 此外，分析可以涉及基于文本成分提取文本行。 例如，可以分析关于文本组件的全局信息，以生成最合适的文本行。 分析还可能涉及修剪和分割文本行以在文本组件组周围生成边界框。 可以将文本识别应用于边界框以识别其中的文本。
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公开(公告)号：US20160005152A1
公开(公告)日：2016-01-07
申请号：US14320987
申请日：2014-07-01
Applicant: Adobe Systems Incorporated
Inventor： Jianchao Yang , Jue Wang , Ketan Tang
CPC classification number: G06K9/4661 , G06K9/40 , G06T5/003 , G06T2207/10016 , G06T2207/10024 , G06T2207/20024 , H04N5/217 , H04N5/23229
Abstract: Multi-feature image haze removal is described. In one or more implementations, feature maps are extracted from a hazy image of a scene. The feature maps convey information about visual characteristics of the scene captured in the hazy image. Based on the feature maps, portions of light that are not scattered by the atmosphere and are captured to produce the hazy image are computed. Additionally, airlight of the hazy image is ascertained based on at least one of the feature maps. The calculated airlight represents constant light of the scene. Using the computed portions of light and the ascertained airlight, a dehazed image is generated from the hazy image.
Abstract translation: 描述了多特征图像雾度去除。 在一个或多个实现中，从场景的模糊图像中提取特征图。 特征图传达关于在朦胧图像中捕获的场景的视觉特征的信息。 基于特征图，计算不被大气散射并被捕获以产生模糊图像的部分光。 此外，基于特征图中的至少一个来确定模糊图像的飞行器。 计算出的空气动力表示场景的恒定光。 使用所计算的光部分和所确定的空气光，从模糊图像产生脱色图像。
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公开(公告)号：US09224194B2
公开(公告)日：2015-12-29
申请号：US14160424
申请日：2014-01-21
Applicant: Adobe Systems Incorporated
Inventor： Jue Wang , Sunghyun Cho , Dun-Yu Hsiao , Shuaicheng Liu
CPC classification number: G06T5/003 , G06T5/50 , G06T2207/10016 , G06T2207/20016 , G06T2207/20021 , G06T2207/20182 , G06T2207/20201
Abstract: Joint video deblurring and stabilization techniques are described. In one or more implementations, a deblurring and stabilization module is configured to jointly deblur and stabilize a video by grouping video frames into spatial-neighboring frame clusters, and building local mesh homographies for video frames in each spatial-neighboring frame cluster.
Abstract translation: 描述了联合视频去模糊和稳定技术。 在一个或多个实现中，去模糊和稳定模块被配置为通过将视频帧分组成空间相邻帧群集并且为每个空间相邻帧群集中的视频帧构建局部网格同画物来共同去除和稳定视频。
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