公开(公告)号：US20150097827A1

公开(公告)日：2015-04-09

申请号：US14050163

申请日：2013-10-09

Applicant: Adobe Systems Incorporated

Inventor： Scott D. Cohen ,  Brian L. Price ,  Bryan S. Morse ,  Joel A. Howard

IPC: G06T17/10

CPC classification number: G06T5/005 ,  G06T2200/04 ,  G06T2207/10012

Abstract: Target region fill techniques involving transformations are described. In one or more implementations, a patch to be used to fill a target region in an image of an scene is identified. A transformation to be applied to the patch is guided using depth information of the scene and at least a portion of the target region in the image is filled using the transformed patch.

Abstract translation: 描述涉及变换的目标区域填充技术。 在一个或多个实现中，识别用于填充场景图像中的目标区域的补丁。 使用场景的深度信息来指导应用于补丁的变换，并且使用变换的补丁填充图像中的目标区域的至少一部分。

公开(公告)号：US20140368549A1

公开(公告)日：2014-12-18

申请号：US13920911

申请日：2013-06-18

Applicant: Adobe Systems Incorporated

Inventor： Zhe Lin ,  Jianchao Yang ,  Scott D. Cohen

IPC: G06T3/40

CPC classification number: G06T3/40 ,  G06T3/4076

Abstract: Image upscaling techniques are described. These techniques may include use of iterative and adjustment upscaling techniques to upscale an input image. A variety of functionality may be incorporated as part of these techniques, examples of which include content-adaptive patch finding techniques that may be employed to give preference to an in-place patch to minimize structure distortion. In another example, content metric techniques may be employed to assign weights for combining patches. In a further example, algorithm parameters may be adapted with respect to algorithm iterations, which may be performed to increase efficiency of computing device resource utilization and speed of performance. For instance, algorithm parameters may be adapted to enforce a minimum and/or maximum number to iterations, cease iterations for image sizes over a threshold amount, set sampling step sizes for patches, employ techniques based on color channels (which may include independence and joint processing techniques), and so on.

Abstract translation: 描述了图像升高技术。 这些技术可以包括使用迭代和调整放大技术来升高输入图像。 作为这些技术的一部分，可以并入各种功能，其示例包括可用于优先使用就地补丁以最小化结构失真的内容自适应补片发现技术。 在另一示例中，可以采用内容度量技术来分配用于组合补丁的权重。 在另一示例中，算法参数可以针对算法迭代进行调整，这可以被执行以提高计算设备资源利用率和性能的效率。 例如，算法参数可以适于对迭代执行最小和/或最大数量，停止针对阈值量的图像大小的迭代，设置用于补丁的采样步长，采用基于颜色通道的技术（其可以包括独立性和联合 处理技术）等。

公开(公告)号：US20140177903A1

公开(公告)日：2014-06-26

申请号：US13722825

申请日：2012-12-20

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Brian L. Price ,  Scott D. Cohen ,  Chenxi Zhang

IPC: G06T7/00

CPC classification number: G06T7/0075 ,  G06T7/11 ,  G06T7/143 ,  G06T7/593 ,  G06T2207/10012 ,  G06T2207/20076

Abstract: Belief propagation and affinity measure techniques are described. In one or more implementations, beliefs may be formed to solve a labeling problem for a node, such as to perform image processing. An affinity measure may be calculated that describes how similar the node is to another node. This affinity measure may then be used as a basis to determine whether the share the belief formed for the node with the other node to solve a labeling problem for the other node.

Abstract translation: 描述信仰传播和亲和力测量技术。 在一个或多个实现中，可以形成信念来解决节点的标签问题，例如执行图像处理。 可以计算亲和力度量，描述节点与另一个节点的相似度。 然后，该亲和测度可以用作基础，以确定共享对于具有另一个节点的节点形成的信念是否解决另一个节点的标签问题。

公开(公告)号：US20140153816A1

公开(公告)日：2014-06-05

申请号：US13690755

申请日：2012-11-30

Applicant: Adobe Systems Incorporated

Inventor： Scott D. Cohen ,  Brian L. Price ,  Gowri Somanath

IPC: G06K9/62

CPC classification number: G06T7/0075 ,  G01S17/023 ,  G01S17/89 ,  G06T7/593 ,  G06T2207/20212

Abstract: Depth map stereo correspondence techniques are described. In one or more implementations, a depth map generated through use of a depth sensor is leveraged as part of processing of stereo images to assist in identifying which parts of stereo images correspond to each other. For example, the depth map may be utilized to describe depth of an image scene which may be used as part of a stereo correspondence calculation. The depth map may also be utilized as part of a determination of a search range to be employed as part of the stereo correspondence calculation.

Abstract translation: 描述了深度图立体声对应技术。 在一个或多个实现中，通过使用深度传感器生成的深度图被用作立体图像的处理的一部分，以帮助识别立体图像的哪些部分彼此对应。 例如，深度图可以用于描述可以用作立体声对应计算的一部分的图像场景的深度。 深度图也可以用作确定要用作立体声对应计算的一部分的搜索范围的一部分。

公开(公告)号：US20140119643A1

公开(公告)日：2014-05-01

申请号：US13660159

申请日：2012-10-25

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Brian L. Price ,  Scott D. Cohen ,  Jacqueline L. Feild ,  Gavin Stuart Peter Miller

IPC: G06K9/34

CPC classification number: G06T7/0081 ,  G06T7/11 ,  G06T7/194 ,  G06T2207/10024

Abstract: Image matting and alpha value techniques are described. In one or more implementations, techniques are described in which matting operations are applied to image data that is in a raw or substantially raw image format. This may be used to decompose image data into foreground and background images as well as to generate an alpha value that describes a linear combination of the foreground and background images for a respective pixel. Further, implementations are also described in which a plurality of alpha values is generated for each of a plurality of pixels. These alpha values may be utilized to support a variety of different functionality, such as matting operations and so on.

Abstract translation: 描述了图像消光和α值技术。 在一个或多个实现中，描述了将消光操作应用于处于原始或基本上原始图像格式的图像数据的技术。 这可以用于将图像数据分解成前景和背景图像，以及生成描述相应像素的前景和背景图像的线性组合的α值。 此外，还描述了为多个像素中的每一个生成多个α值的实现。 这些α值可用于支持各种不同的功能，例如消光操作等等。

公开(公告)号：US20130315478A1

公开(公告)日：2013-11-28

申请号：US13958044

申请日：2013-08-02

Applicant: Adobe Systems Incorporated

Inventor： Stephen N. Schiller ,  Scott D. Cohen ,  Jingnan Wang

IPC: G06T11/60

CPC classification number: G06T11/60 ,  G06K9/209 ,  G06K9/40 ,  G06K9/4647 ,  G06K9/6278

Abstract: A blur classification module may compute the probability that a given pixel in a digital image was blurred using a given two-dimensional blur kernel, and may store the computed probability in a blur classification probability matrix that stores probability values for all combinations of image pixels and the blur kernels in a set of likely blur kernels. Computing these probabilities may include computing a frequency power spectrum for windows into the digital image and/or for the likely blur kernels. The blur classification module may generate a coherent mapping between pixels of the digital image and respective blur states, and/or may perform a segmentation of the image into blurry and sharp regions, dependent on values stored in the matrix. Input image data may be pre-processed. Blur classification results may be employed in image editing operations to automatically target image subjects or background regions, or to estimate the depth of image elements.

Abstract translation: 模糊分类模块可以使用给定的二维模糊核心来计算数字图像中的给定像素模糊的概率，并且可以将所计算的概率存储在模糊分类概率矩阵中，所述模糊分类概率矩阵存储图像像素的所有组合的概率值， 一组可能的模糊内核中的模糊内核。 计算这些概率可以包括计算窗口进入数字图像和/或可能的模糊内核的频率功率谱。 模糊分类模块可以产生数字图像的像素和相应的模糊状态之间的相干映射，和/或可以根据存储在矩阵中的值，将图像分割成模糊和清晰的区域。 可以预处理输入图像数据。 可以在图像编辑操作中使用模糊分类结果来自动对象图像对象或背景区域，或者估计图像元素的深度。

公开(公告)号：US10175867B2

公开(公告)日：2019-01-08

申请号：US15014765

申请日：2016-02-03

Applicant: Adobe Systems Incorporated

Inventor： Brian L. Price ,  Scott D. Cohen ,  Jie Feng

IPC: G06T7/10 ,  G06F3/0484 ,  G06T11/60 ,  G06T7/215 ,  G06T7/143 ,  G06T7/11 ,  G06T7/194

Abstract: User input-based object selection using multiple visual cues is described. User selection input is received for selecting a portion of an image. Once the user selection input is received, one of a plurality of visual cues that convey different information about content depicted in the image is selected for each pixel. The one visual cue is selected as a basis for identifying the pixel as part of the selected portion of the image or part of an unselected remainder of the image. The visual cues are selected by determining confidences, based in part on the user selection input, that the plurality of visual cues can be used to discriminate whether the pixel is part of the selected portion or part of the remainder. The information conveyed by the selected visual cues is used to identify the pixels as part of the selected portion or part of the remainder.

公开(公告)号：US10169549B2

公开(公告)日：2019-01-01

申请号：US15474679

申请日：2017-03-30

Applicant: Adobe Systems Incorporated

Inventor： Zhe Zhu ,  Scott D. Cohen ,  Brian L. Price

IPC: G06F21/00 ,  G06F21/10 ,  G06F3/0484 ,  G06N99/00 ,  G06Q30/06 ,  G06F17/30

Abstract: Techniques and systems are described to support digital image processing through use of an image repository, e.g., a stock image database or other storage. In one example, a plurality of candidate digital images are obtained from an image repository based on a target digital image. A plurality of transformations are generated to be applied to the target digital image, each transformation based on a respective candidate digital image. Semantic information is employed as part of the transformations, e.g., blending, filtering, or alignment. A plurality of transformed target digital images are generated based at least in part through application of the plurality of transformations to the target image.

公开(公告)号：US20180285535A1

公开(公告)日：2018-10-04

申请号：US15474679

申请日：2017-03-30

Applicant: Adobe Systems Incorporated

Inventor： Zhe Zhu ,  Scott D. Cohen ,  Brian L. Price

IPC: G06F21/10 ,  G06F3/0484 ,  G06N99/00 ,  G06Q30/06 ,  G06F17/30

CPC classification number: G06F21/10 ,  G06F3/04845 ,  G06F17/30657 ,  G06N99/005 ,  G06Q30/0601

Abstract: Techniques and systems are described to support digital image processing through use of an image repository, e.g., a stock image database or other storage. In one example, a plurality of candidate digital images are obtained from an image repository based on a target digital image. A plurality of transformations are generated to be applied to the target digital image, each transformation based on a respective candidate digital image. Semantic information is employed as part of the transformations, e.g., blending, filtering, or alignment. A plurality of transformed target digital images are generated based at least in part through application of the plurality of transformations to the target image.

公开(公告)号：US10019657B2

公开(公告)日：2018-07-10

申请号：US14724660

申请日：2015-05-28

Applicant: Adobe Systems Incorporated

Inventor： Zhe Lin ,  Scott D. Cohen ,  Peng Wang ,  Xiaohui Shen ,  Brian L. Price

IPC: G06K9/00 ,  G06K9/66 ,  G06T7/50 ,  G06K9/62 ,  G06K9/46

CPC classification number: G06K9/66 ,  G06K9/00664 ,  G06K9/4628 ,  G06K9/6272 ,  G06N3/0454 ,  G06N3/08 ,  G06N7/005 ,  G06N20/10 ,  G06T7/50 ,  G06T2207/20081

Abstract: Joint depth estimation and semantic labeling techniques usable for processing of a single image are described. In one or more implementations, global semantic and depth layouts are estimated of a scene of the image through machine learning by the one or more computing devices. Local semantic and depth layouts are also estimated for respective ones of a plurality of segments of the scene of the image through machine learning by the one or more computing devices. The estimated global semantic and depth layouts are merged with the local semantic and depth layouts by the one or more computing devices to semantically label and assign a depth value to individual pixels in the image.