公开(公告)号：US20150117784A1

公开(公告)日：2015-04-30

申请号：US14062680

申请日：2013-10-24

Applicant: Adobe Systems Incorporated

Inventor： Zhe Lin ,  Radomir Mech ,  Peng Wang

IPC: G06K9/46

CPC classification number: G06K9/4671 ,  G06T7/11 ,  G06T7/136 ,  G06T7/162 ,  G06T7/194 ,  G06T2207/20004 ,  G06T2207/20016 ,  G06T2207/20076 ,  G06T2207/20081

Abstract: In techniques for image foreground detection, a foreground detection module is implemented to generate varying levels of saliency thresholds from a saliency map of an image that includes foreground regions. The saliency thresholds can be generated based on an adaptive thresholding technique applied to the saliency map of the image and/or based on multi-level segmentation of the saliency map. The foreground detection module applies one or more constraints that distinguish the foreground regions in the image, and detects the foreground regions of the image based on the saliency thresholds and the constraints. Additionally, different ones of the constraints can be applied to detect different ones of the foreground regions, as well as to detect multi-level foreground regions based on the saliency thresholds and the constraints.

Abstract translation: 在用于图像前景检测的技术中，实施前景检测模块以从包括前景区域的图像的显着图生成不同级别的显着阈值。 可以基于应用于图像的显着图的自适应阈值技术和/或基于显着图的多级分割来生成显着阈值。 前景检测模块应用区分图像中的前景区域的一个或多个约束，并且基于显着性阈值和约束来检测图像的前景区域。 此外，可以应用不同的约束来检测不同的前景区域，以及基于显着性阈值和约束来检测多级前景区域。

公开(公告)号：US20150110386A1

公开(公告)日：2015-04-23

申请号：US14060076

申请日：2013-10-22

Applicant: Adobe Systems Incorporated

Inventor： Zhe Lin ,  Hailin Jin

IPC: G06T5/00 ,  G06K9/62

CPC classification number: G06T5/002 ,  G06T2207/20021

Abstract: Image denoising techniques are described. In one or more implementations, a denoising result is computed by a computing device for a patch of an image. One or more partitions are located by the computing device that correspond to the denoising result and a denoising operator is obtained by the computing device that corresponds to the located one or more partitions. The obtained denoising operator is applied by the computing device to the image.

Abstract translation: 描述了图像去噪技术。 在一个或多个实现中，由计算设备计算图像块的去噪结果。 一个或多个分区由计算设备定位，其对应于去噪结果，并且由与所定位的一个或多个分区相对应的计算设备获得去噪算子。 所获得的去噪算子由计算装置应用于图像。

公开(公告)号：US20150071545A1

公开(公告)日：2015-03-12

申请号：US14020969

申请日：2013-09-09

Applicant: Adobe Systems Incorporated

Inventor： Jianchao Yang ,  Zhe Lin

IPC: G06T5/00 ,  G06K9/46

CPC classification number: G06T5/50 ,  G06K9/46 ,  G06K9/4609 ,  G06K9/4647 ,  G06K9/6259 ,  G06T3/4053 ,  G06T3/4076 ,  G06T5/002 ,  G06T5/003 ,  G06T2207/10024 ,  G06T2207/20192 ,  G06T2207/20216

Abstract: Systems and methods are provided for image enhancement using self-examples in combination with external examples. In one embodiment, an image manipulation application receives an input image patch of an input image. The image manipulation application determines a first weight for an enhancement operation using self-examples and a second weight for an enhancement operation using external examples. The image manipulation application generates a first interim output image patch by applying the enhancement operation using self-examples to the input image patch and a second interim output image patch by applying the enhancement operation using external examples to the input image patch. The image manipulation application generates an output image patch by combining the first and second interim output image patches as modified using the first and second weights.

Abstract translation: 提供了使用自身实例与外部示例组合的图像增强的系统和方法。 在一个实施例中，图像处理应用接收输入图像的输入图像块。 图像处理应用使用自身示例确定用于增强操作的第一权重，并且使用外部示例来确定用于增强操作的第二权重。 图像处理应用程序通过使用自身示例将增强操作应用于输入图像贴片和第二中期输出图像贴片，通过使用外部示例将输入图像贴图应用增强操作来生成第一临时输出图像贴片。 图像处理应用程序通过组合使用第一和第二权重修改的第一和第二临时输出图像块来生成输出图像块。

公开(公告)号：US08948517B2

公开(公告)日：2015-02-03

申请号：US13782804

申请日：2013-03-01

Applicant: Adobe Systems Incorporated

Inventor： Zhe Lin ,  Jonathan Brandt ,  Xiaohui Shen

IPC: G06K9/46 ,  G06T7/00

CPC classification number: G06T7/0079 ,  G06K9/00281

Abstract: One exemplary embodiment involves identifying feature matches between each of a plurality of object images and a test image, each of the feature matches between a feature of a respective object image and a matching feature of the test image, wherein there is a spatial relationship between each respective object image feature and a first landmark of the object image, the first landmark at a known location in the object image. The embodiment additionally involves estimating a plurality of locations for a second landmark for the test image, the estimated locations based at least in part on the feature matches and the spatial relationships, and estimating a final location for the second landmark from the plurality of locations for the second landmark for the test image.

Abstract translation: 一个示例性实施例涉及识别多个对象图像中的每一个与测试图像之间的特征匹配，每个特征在相应对象图像的特征与测试图像的匹配特征之间匹配，其中每个对象图像之间存在空间关系 对象图像的相应对象图像特征和第一界标，在对象图像中的已知位置处的第一界标。 该实施例另外包括估计用于测试图像的第二地标的多个位置，至少部分地基于特征匹配和空间关系估计位置，以及从多个位置估计第二地标的最终位置， 测试图像的第二个里程碑。

公开(公告)号：US20140368509A1

公开(公告)日：2014-12-18

申请号：US13920957

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 ,  G06T3/4053 ,  G06T3/4076 ,  G06T5/002 ,  G06T5/003 ,  G06T2207/20012 ,  G09G2340/0407

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：US20140254882A1

公开(公告)日：2014-09-11

申请号：US13794300

申请日：2013-03-11

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Hailin Jin ,  Zhuoyuan Chen ,  Zhe Lin ,  Scott D. Cohen

IPC: G06K9/46

CPC classification number: G06T7/204 ,  G06T7/215 ,  G06T7/223 ,  G06T7/248 ,  G06T7/337 ,  G06T2207/20016 ,  G06T2207/20021

Abstract: In embodiments of optical flow with nearest neighbor field fusion, an initial motion field can be generated based on the apparent motion of objects between digital images, and the initial motion field accounts for small displacements of the object motion. Matching patches of a nearest neighbor field can also be determined for the digital images, where patches of an initial size are compared to determine the matching patches, and the nearest neighbor field accounts for large displacements of the object motion. Additionally, region patch matches can be compared and determined between the digital images, where the region patches are larger than the initial size matching patches. Optimal pixel assignments can then be determined for a fused image representation of the digital images, where the optimal pixel assignments are determined from the initial motion field, the matching patches, and the region patch matches.

Abstract translation: 在具有最近邻场融合的光流的实施例中，可以基于数字图像之间的物体的明显运动来生成初始运动场，并且初始运动场考虑到物体运动的小位移。 还可以为数字图像确定最近邻域的匹配补丁，其中比较初始大小的补丁以确定匹配补丁，并且最近邻域考虑对象运动的大位移。 另外，可以在数字图像之间比较和确定区域补丁匹配，其中区域补丁大于初始大小匹配补丁。 然后可以确定数字图像的融合图像表示的最佳像素分配，其中从初始运动场，匹配补丁和区域补丁匹配确定最佳像素分配。

公开(公告)号：US20140247992A1

公开(公告)日：2014-09-04

申请号：US13782181

申请日：2013-03-01

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Zhe Lin ,  Jonathan Brandt ,  Xiaohui Shen

IPC: G06K9/62

CPC classification number: G06K9/6202 ,  G06K9/00228 ,  G06K2009/00328

Abstract: One exemplary embodiment involves identifying feature matches between each of a plurality of object images and a test image, each feature matches between a feature of a respective object image and a matching feature of the test image, wherein there is a spatial relationship between each respective object image feature and a test image feature, and wherein the object depicted in the test image comprises a plurality of attributes. Additionally, the embodiment involves estimating, for each attribute in the test image, an attribute value based at least in part on information stored in a metadata associated with each of the object images.

Abstract translation: 一个示例性实施例涉及识别多个对象图像和测试图像中的每一个之间的特征匹配，每个特征在相应对象图像的特征与测试图像的匹配特征之间匹配，其中每个相应对象之间存在空间关系 图像特征和测试图像特征，并且其中测试图像中描绘的对象包括多个属性。 另外，该实施例涉及至少部分地基于存储在与每个对象图像相关联的元数据中的信息来估计测试图像中的每个属性的属性值。