Automatically determining the size of a blur kernel
    11.
    发明授权
    Automatically determining the size of a blur kernel 有权
    自动确定模糊内核的大小

    公开(公告)号:US09576220B2

    公开(公告)日:2017-02-21

    申请号:US15045070

    申请日:2016-02-16

    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。

    Image deblurring based on light streaks
    12.
    发明授权
    Image deblurring based on light streaks 有权
    基于光条纹的图像去模糊

    公开(公告)号:US09392173B2

    公开(公告)日:2016-07-12

    申请号:US14105554

    申请日:2013-12-13

    CPC classification number: H04N5/23267 G06T5/003

    Abstract: A blurred image having a spatially invariant motion blur resulting from camera motion during image capture is deblurred based on one or more light streaks identified and extracted from the blurred image. A blur kernel for the blurred image is estimated by performing an optimization procedure having a blur kernel constraint based at least in part on the light streak. One or more light streaks can in some embodiments be posed as the blur kernel constraint. A modeled light streak may be defined as a convolution between the blur kernel and a simulated light source, with the optimization procedure being to minimize a distance between the modeled light streak and the corresponding identified light streak from the blurred image.

    Abstract translation: 基于从模糊图像识别和提取的一条或多条光条纹,在图像拍摄期间具有由相机运动产生的空间不变运动模糊的模糊图像被去毛刺。 用于模糊图像的模糊内核通过至少部分地基于光条纹执行具有模糊内核约束的优化过程来估计。 在一些实施例中,可以提供一个或多个光条纹作为模糊核心约束。 模拟的光条可以被定义为模糊核与模拟光源之间的卷积,优化过程是将建模的条纹与从模糊图像相应的识别光条纹之间的距离最小化。

    DISCRIMINATIVE INDEXING FOR PATCH-BASED IMAGE ENHANCEMENT
    13.
    发明申请
    DISCRIMINATIVE INDEXING FOR PATCH-BASED IMAGE ENHANCEMENT 有权
    基于PATCH的图像增强的分辨率指标

    公开(公告)号:US20150310295A1

    公开(公告)日:2015-10-29

    申请号:US14265012

    申请日:2014-04-29

    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。

    Data-Driven Edge-Based Image De-Blurring
    14.
    发明申请
    Data-Driven Edge-Based Image De-Blurring 有权
    基于数据驱动的边缘图像去模糊

    公开(公告)号:US20140140633A1

    公开(公告)日:2014-05-22

    申请号:US13682201

    申请日:2012-11-20

    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。

    De-noising image content using directional filters for image deblurring
    16.
    发明授权
    De-noising image content using directional filters for image deblurring 有权
    使用图像去模糊的方向滤波器去噪图像内容

    公开(公告)号:US09349164B2

    公开(公告)日:2016-05-24

    申请号:US14488441

    申请日:2014-09-17

    CPC classification number: G06T5/002 G06T5/003 G06T5/20

    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。

    Discriminative indexing for patch-based image enhancement
    17.
    发明授权
    Discriminative indexing for patch-based image enhancement 有权
    基于补丁的图像增强的辨别索引

    公开(公告)号:US09342869B2

    公开(公告)日:2016-05-17

    申请号:US14265012

    申请日:2014-04-29

    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。

    COLLABORATIVE SYNCHRONIZED MULTI-DEVICE PHOTOGRAPHY
    18.
    发明申请
    COLLABORATIVE SYNCHRONIZED MULTI-DEVICE PHOTOGRAPHY 审中-公开
    协同同步多设备摄影

    公开(公告)号:US20160077422A1

    公开(公告)日:2016-03-17

    申请号:US14484939

    申请日:2014-09-12

    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。

    Simulating tracking shots from image sequences
    19.
    发明授权
    Simulating tracking shots from image sequences 有权
    从图像序列模拟跟踪镜头

    公开(公告)号:US09253415B2

    公开(公告)日:2016-02-02

    申请号:US14091658

    申请日:2013-11-27

    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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