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公开(公告)号：US09984440B2
公开(公告)日：2018-05-29
申请号：US13920957
申请日：2013-06-18
Applicant: Adobe Systems Incorporated
Inventor： Zhe Lin , Jianchao Yang , Scott D. Cohen
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.
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公开(公告)号：US09767540B2
公开(公告)日：2017-09-19
申请号：US14280421
申请日：2014-05-16
Applicant: Adobe Systems Incorporated
Inventor： Zhe Lin , Jianchao Yang , Hailin Jin , Xin Lu
CPC classification number: G06T5/005 , G06K9/00664 , G06K9/6218 , G06T5/002 , G06T2207/20081 , G06T2207/20084
Abstract: Patch partition and image processing techniques are described. In one or more implementations, a system includes one or more modules implemented at least partially in hardware. The one or more modules are configured to perform operations including grouping a plurality of patches taken from a plurality of training samples of images into respective ones of a plurality of partitions, calculating an image processing operator for each of the partitions, determining distances between the plurality of partitions that describe image similarity of patches of the plurality of partitions, one to another, and configuring a database to provide the determined distance and the image processing operator to process an image in response to identification of a respective partition that corresponds to a patch taken from the image.
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公开(公告)号：US20170116467A1
公开(公告)日：2017-04-27
申请号：US15398881
申请日：2017-01-05
Applicant: Adobe Systems Incorporated
Inventor： Wilmot Wei-Mau Li , Jianchao Yang , Linjie Luo , Jonathan W. Brandt , Xiang Yu
CPC classification number: G06K9/00288 , G06K9/00228 , G06K9/00281 , G06K9/00302 , G06K9/00315 , G06K9/4604 , G06K9/4628 , G06K9/4642 , G06K9/6269 , G06K9/6272 , G06K9/66 , G06T7/246 , G06T13/40
Abstract: Techniques for facial expression capture for character animation are described. In one or more implementations, facial key points are identified in a series of images. Each image, in the series of images, is normalized from the identified facial key points. Facial features are determined from each of the normalized images. Then a facial expression is classified, based on the determined facial features, for each of the normalized images. In additional implementations, a series of images are captured that include performances of one or more facial expressions. The facial expressions in each image of the series of images are classified by a facial expression classifier. Then the facial expression classifications are used by a character animator system to produce a series of animated images of an animated character that include animated facial expressions that are associated with the facial expression classification of the corresponding image in the series of images.
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公开(公告)号：US20170109873A1
公开(公告)日：2017-04-20
申请号：US15392162
申请日：2016-12-28
Applicant: Adobe Systems Incorporated
Inventor： Jianchao Yang , ZHE LIN
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.
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公开(公告)号：US09619870B2
公开(公告)日：2017-04-11
申请号：US15219590
申请日：2016-07-26
Applicant: Adobe Systems Incorporated
Inventor： Jianchao Yang
CPC classification number: G06T5/003 , G06T5/10 , G06T2207/20016
Abstract: Techniques are disclosed for removing blur from a single image by accumulating a blur kernel estimation across several scale levels of the image and balancing the contributions of the different scales to the estimation depending on the noise level in each observation. In particular, a set of observations can be obtained by applying a set of variable scale filters to a single blurry image at different scale levels. A single blur kernel can be estimated across all scales from the set of observations and used to obtain a single latent sharp image. The estimation at a large scale level is refined using the observations at successively smaller scale levels. The filtered observations may be weighted during the estimation to balance the contributions of each scale to the estimation of the blur kernel. A deblurred digital image is recovered by deconvolving the blurry digital image using the estimated blur kernel.
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Patent Agency Ranking
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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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：US09189834B2
公开(公告)日：2015-11-17
申请号：US14080659
申请日：2013-11-14
Applicant: Adobe Systems Incorporated
Inventor： Zhe Lin , Jianchao Yang , Hailin Jin , Xin Lu
CPC classification number: G06T5/002 , G06K9/4609 , G06K9/4642 , G06K9/56 , G06T5/50 , G06T2207/20012 , G06T2207/20021 , G06T2207/20182
Abstract: In techniques for adaptive denoising with internal and external patches, example image patches taken from example images are grouped into partitions of similar patches, and a partition center patch is determined for each of the partitions. An image denoising technique is applied to image patches of a noisy image to generate modified image patches, and a closest partition center patch to each of the modified image patches is determined. The image patches of the noisy image are then classified as either a common patch or a complex patch of the noisy image, where an image patch is classified based on a distance between the corresponding modified image patch and the closest partition center patch. A denoising operator can be applied to an image patch based on the classification, such as applying respective denoising operators to denoise the image patches that are classified as the common patches of the noisy image.
Abstract translation: 在使用内部和外部补丁进行自适应去噪的技术中，从示例图像获取的示例图像修补程序分组到类似修补程序的分区中，并为每个分区确定分区中心修补程序。 将图像去噪技术应用于噪声图像的图像补丁以产生修改后的图像斑块，并确定每个修改后的图像斑块的最接近的分割中心斑块。 然后，噪声图像的图像块被分类为噪声图像的公共补丁或复杂补丁，其中基于相应修改的图像补丁和最接近的分割中心补丁之间的距离对图像补丁进行分类。 可以基于分类将去噪算子应用于图像补片，例如应用相应的去噪算子去除被分类为噪声图像的公共斑块的图像斑块。
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10.发明申请Image Classification Using Images with Separate Grayscale and Color Channels 有权使用具有独立灰度和彩色通道的图像的图像分类公开(公告)号：US20150139536A1
公开(公告)日：2015-05-21
申请号：US14081684
申请日：2013-11-15
Applicant: Adobe Systems Incorporated
Inventor： Hailin Jin , Thomas Le Paine , Jianchao Yang , Zhe Lin , Jonathan W. Brandt
CPC classification number: G06K9/6267 , G06K9/46 , G06K9/4652
Abstract: Image classification techniques using images with separate grayscale and color channels are described. In one or more implementations, an image classification network includes grayscale filters and color filters which are separate from the grayscale filters. The grayscale filters are configured to extract grayscale features from a grayscale channel of an image, and the color filters are configured to extract color features from a color channel of the image. The extracted grayscale features and color features are used to identify an object in the image, and the image is classified based on the identified object.
Abstract translation: 描述使用具有单独灰度和颜色通道的图像的图像分类技术。 在一个或多个实现中，图像分类网络包括与灰阶滤波器分离的灰度滤波器和滤色器。 灰度滤波器被配置为从图像的灰度级通道提取灰度特征，并且滤色器被配置为从图像的颜色通道中提取颜色特征。 提取的灰度特征和颜色特征用于识别图像中的对象，并且基于识别的对象对图像进行分类。
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