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公开(公告)号:US08655109B2
公开(公告)日:2014-02-18
申请号:US13565334
申请日:2012-08-02
Applicant: Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
Inventor: Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
CPC classification number: G06T3/4053
Abstract: Methods and systems for a regression-based learning model in image upscaling are disclosed. In one embodiment, a set of image patch pairs for each of a set of images is generated. Each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image. A regression model based at least in part on the set of image patch pairs is defined. The regression model represents a gradient of a function of the downscaled lower-resolution image. An image is upscaled based at least in part on the regression model.
Abstract translation: 公开了一种基于回归的学习模型在图像放大中的方法和系统。 在一个实施例中,生成用于一组图像中的每一个的一组图像补丁对。 每个图像补丁对包含自然图像和对应的缩小的较低分辨率图像。 定义了至少部分基于图像补丁对集合的回归模型。 回归模型表示缩小的较低分辨率图像的函数的梯度。 至少部分基于回归模型,图像被放大。
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公开(公告)号:US08380039B2
公开(公告)日:2013-02-19
申请号:US12942407
申请日:2010-11-09
Applicant: Jiebo Luo , Jianchao Yang , Jie Yu
Inventor: Jiebo Luo , Jianchao Yang , Jie Yu
IPC: H04N5/77
CPC classification number: H04N9/8205 , H04N5/772 , H04N5/91
Abstract: A method for organizing individual collections of images or videos captured for the same event by different cameras into a master collection, wherein each individual collection forms a media stream in chronological order. A processor for extracting image features for each image or video of the media stream of each collection; constructing a graph based on the extracted features to link the images or videos from the two media streams; finding on the graph at least a pair of images or videos, each from one of the two media streams, that corresponds to correlated captured content; aligning the remaining images or videos in response to the aligned pair so that the all images or videos from the two media streams are aligned over a common timeline; and producing a master stream in chronological order of the event over a common timeline by merging the aligned individual.
Abstract translation: 一种用于将由不同相机拍摄的相同事件的图像或视频的各个集合组织成主集合的方法,其中每个单独集合以时间顺序形成媒体流。 一种用于为每个集合的媒体流的每个图像或视频提取图像特征的处理器; 基于提取的特征构建图表以链接来自两个媒体流的图像或视频; 在图上找到至少一对图像或视频,每个图像或视频各自来自两个媒体流之一,对应于相关的捕获的内容; 响应于对准的对对齐剩余的图像或视频,使得来自两个媒体流的所有图像或视频在公共时间线上对齐; 并通过合并对齐的个体在公共时间轴上按时间顺序生成主流。
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公开(公告)号:US08374442B2
公开(公告)日:2013-02-12
申请号:US12469073
申请日:2009-05-20
Applicant: Kai Yu , Jianchao Yang , Yihong Gong
Inventor: Kai Yu , Jianchao Yang , Yihong Gong
CPC classification number: G06K9/6249 , G06K9/4671
Abstract: Systems and methods are disclosed to classify an input image by determining a spatial-pyramid image representation based on sparse coding; determining a descriptor for each interest point in the input image; encoding the descriptor; and applying max pooling to form the spatial pyramid representation of images.
Abstract translation: 公开了系统和方法,以通过基于稀疏编码确定空间 - 金字塔图像表示来对输入图像进行分类; 确定所述输入图像中每个兴趣点的描述符; 编码描述符; 并应用最大池来形成图像的空间金字塔表示。
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公开(公告)号:US20130034313A1
公开(公告)日:2013-02-07
申请号:US13565334
申请日:2012-08-02
Applicant: Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
Inventor: Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC: G06K9/32
CPC classification number: G06T3/4053
Abstract: Methods and systems for a regression-based learning model in image upscaling are disclosed. In one embodiment, a set of image patch pairs for each of a set of images is generated. Each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image. A regression model based at least in part on the set of image patch pairs is defined. The regression model represents a gradient of a function of the downscaled lower-resolution image. An image is upscaled based at least in part on the regression model.
Abstract translation: 公开了一种基于回归的学习模型在图像放大中的方法和系统。 在一个实施例中,生成用于一组图像中的每一个的一组图像补丁对。 每个图像补丁对包含自然图像和对应的缩小的较低分辨率图像。 定义了至少部分基于图像补丁对集合的回归模型。 回归模型表示缩小的较低分辨率图像的函数的梯度。 至少部分基于回归模型,图像被放大。
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公开(公告)号:US20130034311A1
公开(公告)日:2013-02-07
申请号:US13565379
申请日:2012-08-02
Applicant: Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
Inventor: Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC: G06K9/40
CPC classification number: G06T3/4053
Abstract: Methods and systems for denoising and artifact removal in image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. An upsampled image intermediate is obtained from the input image by upsampling. A result image is estimated, based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image. The input image is of a smaller scale than the result image. The estimating the result image further includes eliminating from the result image noise that is present in the input image.
Abstract translation: 公开了在图像升高中去除和去除伪影的方法和系统。 在一个实施例中,从输入图像获得低频带图像中间体。 通过上采样从输入图像获得上采样图像中间值。 至少部分地基于上采样图像中间,低频带图像中间和输入图像来估计结果图像。 输入图像的尺寸小于结果图像。 估计结果图像还包括消除输入图像中存在的结果图像噪声。
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公开(公告)号:US20120113121A1
公开(公告)日:2012-05-10
申请号:US12942391
申请日:2010-11-09
Applicant: Jiebo Luo , Jianchao Yang
Inventor: Jiebo Luo , Jianchao Yang
CPC classification number: G06F17/30247 , G06F17/30265 , G06F17/30781
Abstract: A method for organizing individual collections of images or videos captured for the same event by different cameras into a master collection, wherein each individual collection forms a media stream in chronological order, includes using a processor to provide the following steps: extracting image features for each image or video of the media stream of each individual collection; analyzing the extracted features to align the media streams to form a master stream in chronological order of the event over a common timeline; producing a master collection of images or videos of the event from the master stream by removing redundant images or videos; and storing, displaying or transmitting the master collection.
Abstract translation: 一种用于将由不同摄像机捕获的相同事件的图像或视频的个体集合组织成主集合的方法,其中每个单独集合以时间顺序形成媒体流,包括使用处理器提供以下步骤:为每个集合提取图像特征 每个单独集合的媒体流的图像或视频; 分析提取的特征以使媒体流对准以在公共时间线上的事件的时间顺序形成主流; 通过删除冗余图像或视频,从主流中产生主题集合的图像或视频; 并存储,显示或发送主集合。
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