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1.发明授权公开(公告)号：US08358359B2
公开(公告)日：2013-01-22
申请号：US12690929
申请日：2010-01-21
CPC分类号： G06T5/003 , G06T2207/20201
摘要： A system is described for reducing artifacts produced by a rolling shutter capture technique in the presence of high-frequency motion, e.g., produced by large accelerations or jitter. The system operates by computing low-frequency information based on the motion of points from one frame to the next. The system then uses the low-frequency information to infer the high-frequency motion, e.g., by treating the low-frequency information as known integrals of the unknown underlying high-frequency information. The system then uses the high-frequency information to reduce the presence of artifacts. In effect, the correction aims to re-render video information as though all the pixels in each frame were imaged at the same time using a global shutter technique. An auto-calibration module can estimate the value of a capture parameter, which relates to a time interval between the capture of two subsequent rows of video information.
摘要翻译： 描述了一种用于在存在高频运动（例如由大的加速度或抖动产生的）的情况下减少由快门拍摄技术产生的假象的系统。 该系统通过基于从一帧到下一帧的点的运动来计算低频信息来进行操作。 然后，系统使用低频信息来推断高频运动，例如通过将低频信息作为未知底层高频信息的已知积分来处理。 然后，系统使用高频信息来减少伪像的存在。 实际上，校正旨在重新渲染视频信息，就像使用全局快门技术同时成像每个帧中的所有像素一样。 自动校准模块可以估计捕获参数的值，其涉及捕获两个后续行的视频信息之间的时间间隔。
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2.发明申请公开(公告)号：US20110176043A1
公开(公告)日：2011-07-21
申请号：US12690929
申请日：2010-01-21
IPC分类号： H04N5/335
CPC分类号： G06T5/003 , G06T2207/20201
摘要： A system is described for reducing artifacts produced by a rolling shutter capture technique in the presence of high-frequency motion, e.g., produced by large accelerations or jitter. The system operates by computing low-frequency information based on the motion of points from one frame to the next. The system then uses the low-frequency information to infer the high-frequency motion, e.g., by treating the low-frequency information as known integrals of the unknown underlying high-frequency information. The system then uses the high-frequency information to reduce the presence of artifacts. In effect, the correction aims to re-render video information as though all the pixels in each frame were imaged at the same time using a global shutter technique. An auto-calibration module can estimate the value of a capture parameter, which relates to a time interval between the capture of two subsequent rows of video information.
摘要翻译： 描述了一种用于在存在高频运动（例如由大的加速度或抖动产生的）的情况下减少由快门拍摄技术产生的假象的系统。 该系统通过基于从一帧到下一帧的点的运动来计算低频信息来进行操作。 然后，系统使用低频信息来推断高频运动，例如通过将低频信息作为未知底层高频信息的已知积分来处理。 然后，系统使用高频信息来减少伪像的存在。 实际上，校正旨在重新渲染视频信息，就像使用全局快门技术同时成像每个帧中的所有像素一样。 自动校准模块可以估计捕获参数的值，其涉及捕获两个后续行的视频信息之间的时间间隔。
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公开(公告)号：US07706609B2
公开(公告)日：2010-04-27
申请号：US11343581
申请日：2006-01-30
申请人： Eric P. Bennett , Matthew T. Uyttendaele , Charles L. Zitnick , Sing Bing Kang , Richard S. Szeliski
发明人： Eric P. Bennett , Matthew T. Uyttendaele , Charles L. Zitnick , Sing Bing Kang , Richard S. Szeliski
摘要： A Bayesian two-color image demosaicer and method for processing a digital color image to demosaic the image in such a way as to reduce image artifacts. The method and system are an improvement on and an enhancement to previous demosaicing techniques. A preliminary demosaicing pass is performed on the image to assign each pixel a fully specified RGB triple color value. The final color value of pixel in the processed image is restricted to be a linear combination of two colors. Fully-specified RGB triple color values for each pixel in an image used to find two clusters represented favored two colors. The amount of contribution from these favored two colors on the final color value then is determined. The method and system also can process multiple images to improve the demosaicing results. When using multiple images, sampling can be performed at a finer resolution, known as super resolution.
摘要翻译： 一种贝叶斯双色图像拆分器和用于处理数字彩色图像以使图像去马赛克的方法，以减少图像伪像。 该方法和系统是对以前的去马赛克技术的改进和增强。 对图像执行初步去马赛克通行，为每个像素分配完全指定的RGB三色值。 处理图像中的像素的最终色值被限制为两种颜色的线性组合。 用于查找两个聚类的图像中每个像素的完全指定的RGB三色值代表有利于两种颜色。 然后确定这些有利的两种颜色对最终颜色值的贡献量。 该方法和系统还可以处理多个图像以改善去马赛克结果。 当使用多个图像时，可以以更精细的分辨率（称为超分辨率）进行采样。
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公开(公告)号：US20090285480A1
公开(公告)日：2009-11-19
申请号：US12120646
申请日：2008-05-15
申请人： Eric P. Bennett , Brad Hinkel
发明人： Eric P. Bennett , Brad Hinkel
IPC分类号： G06K9/00
CPC分类号： G06K9/40 , G06T5/002 , G06T5/20 , G06T5/50 , G06T2207/10024 , G06T2207/20028 , G06T2207/20032 , G06T2207/20192
摘要： Noise in an image is reduced in a manner that takes into account edge information in one or more channels of the image. A first image is received that is formatted according to a red-green-blue (RGB) color model. The first image is converted from the RGB color model to a second color model that includes at least a luminance channel, a first chrominance channel, and a second chrominance channel that are representative of the first image. The first and second chrominance channels are each denoised in a manner that accounts at least for edge information in the luminance channel, and may also include edge information from other channels in a manner that accounts for per-channel noise characteristics. The luminance channel and denoised first and second chrominance channels are converted to a second image formatted according to the RGB color model that is a noise-reduced version of the first image.
摘要翻译： 图像中的噪声以考虑图像的一个或多个通道中的边缘信息的方式被减少。 接收到根据红 - 绿 - 蓝（RGB）颜色模型格式化的第一个图像。 第一图像从RGB颜色模型转换成包括代表第一图像的至少亮度通道，第一色度通道和第二色度通道的第二颜色模型。 第一和第二色度通道以至少考虑亮度通道中的边缘信息的方式去噪，并且还可以以考虑每通道噪声特性的方式包括来自其它通道的边缘信息。 将亮度通道和去噪的第一和第二色度通道转换为根据作为第一图像的噪声降低版本的RGB颜色模型格式化的第二图像。
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公开(公告)号：US08254718B2
公开(公告)日：2012-08-28
申请号：US12120646
申请日：2008-05-15
申请人： Eric P. Bennett , Brad Hinkel
发明人： Eric P. Bennett , Brad Hinkel
IPC分类号： G06K9/40
CPC分类号： G06K9/40 , G06T5/002 , G06T5/20 , G06T5/50 , G06T2207/10024 , G06T2207/20028 , G06T2207/20032 , G06T2207/20192
摘要： Noise in an image is reduced in a manner that takes into account edge information in one or more channels of the image. A first image is received that is formatted according to a red-green-blue (RGB) color model. The first image is converted from the RGB color model to a second color model that includes at least a luminance channel, a first chrominance channel, and a second chrominance channel that are representative of the first image. The first and second chrominance channels are each denoised in a manner that accounts at least for edge information in the luminance channel, and may also include edge information from other channels in a manner that accounts for per-channel noise characteristics. The luminance channel and denoised first and second chrominance channels are converted to a second image formatted according to the RGB color model that is a noise-reduced version of the first image.
摘要翻译： 图像中的噪声以考虑图像的一个或多个通道中的边缘信息的方式被减少。 接收到根据红 - 绿 - 蓝（RGB）颜色模型格式化的第一个图像。 第一图像从RGB颜色模型转换成包括代表第一图像的至少亮度通道，第一色度通道和第二色度通道的第二颜色模型。 第一和第二色度通道以至少考虑亮度通道中的边缘信息的方式去噪，并且还可以以考虑每通道噪声特性的方式包括来自其它通道的边缘信息。 将亮度通道和去噪的第一和第二色度通道转换为根据作为第一图像的噪声降低版本的RGB颜色模型格式化的第二图像。
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公开(公告)号：US20130059744A1
公开(公告)日：2013-03-07
申请号：US13505827
申请日：2010-11-05
IPC分类号： G01N33/574 , C07K16/00 , C40B30/04
CPC分类号： G01N33/57484 , C07K14/00 , C07K16/00 , C07K16/3092 , C07K2317/732
摘要： The present inventors have demonstrated that circulating auto-antibodies to cancer antigens hold promise as specific and sensitive biomarkers for the early detection of cancer. The present invention thus relates to methods of detecting cancer in a sample, comprising utilising a glycopeptide bait derived from human mucins with different cancer-associated O-glycans. Detected antibodies were demonstrated as glycopeptide specific, and it could be discriminated between e.g. colorectal cancer patients and healthy individuals. The inventors have also developed monoclonal antibodies based on the identified glycopeptides epitope baits, and demonstrated differential expression of the relevant target antigens. The invention thus, in a lock and key-based manner includes both glycopeptides and antibody tools for early detection of cancer, as well as methods of using the same for in situ visualisation and treatment of specific cancer types.
摘要翻译： 本发明人已经证明，对癌症抗原的循环自身抗体作为用于癌症早期检测的特异性和敏感的生物标志物具有希望。 因此，本发明涉及检测样品中癌症的方法，其包括利用来自人类粘蛋白的糖肽诱饵与不同的癌症相关的O-聚糖。 检测到的抗体被证实为糖肽特异性，并且可以区分例如。 结肠直肠癌患者和健康个体。 本发明人还开发了基于鉴定的糖肽表位诱饵的单克隆抗体，并证明了相关靶抗原的差异表达。 因此，本发明以锁和密钥为基础的方式包括用于癌症早期检测的糖肽和抗体工具，以及将其用于原位可视化和治疗特定癌症类型的方法。
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公开(公告)号：US20090220169A1
公开(公告)日：2009-09-03
申请号：US12038816
申请日：2008-02-28
申请人： Eric P. Bennett , Bradley Hinkel
发明人： Eric P. Bennett , Bradley Hinkel
IPC分类号： G06K9/40
摘要： A bilateral filter is implemented to allow a digital image to be enhanced while mitigating the formation of ringing artifacts or halos within the image. The bilateral filter allows the digital image to be decomposed into a detail feature image and a large-scale feature image, where the image's textures are primarily comprised within the detail image, and the image's edges are primarily comprised within the large-scale feature image. By decomposing the image into these two sub-images and then globally scaling their respective magnitudes, it is possible to adjust the textures within the image substantially independent of the edges in the image and vice versa. This allows the apparent amount of texture in the scene to be enhanced while mitigating the formation of ringing artifacts or halos around edges in the image.
摘要翻译： 实现双边滤波器以允许增强数字图像，同时减轻图像内的振铃伪像或光晕的形成。 双边滤波器允许将数字图像分解为细节特征图像和大尺寸特征图像，其中图像的纹理主要包含在细节图像内，并且图像的边缘主要包含在大尺度特征图像内。 通过将图像分解成这两个子图像，然后对其各自的幅度进行全局缩放，可以基本上独立于图像中的边缘来调整图像内的纹理，反之亦然。 这允许在减轻图像边缘周围的振铃伪像或晕圈的同时增强场景中的明显的纹理量。
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公开(公告)号：US09588121B2
公开(公告)日：2017-03-07
申请号：US13505827
申请日：2010-11-05
IPC分类号： G01N33/53 , G01N33/574 , C07K14/00 , C07K16/00 , C07K16/30
CPC分类号： G01N33/57484 , C07K14/00 , C07K16/00 , C07K16/3092 , C07K2317/732
摘要： The present inventors have demonstrated that circulating auto-antibodies to cancer antigens hold promise as specific and sensitive biomarkers for the early detection of cancer. The present invention thus relates to methods of detecting cancer in a sample, comprising utilizing a glycopeptide bait derived from human mucins with different cancer-associated O-glycans. Detected antibodies were demonstrated as glycopeptide specific, and it could be discriminated between e.g. colorectal cancer patients and healthy individuals. The inventors have also developed monoclonal antibodies based on the identified glycopeptides epitope baits, and demonstrated differential expression of the relevant target antigens. The invention thus, in a lock and key-based manner includes both glycopeptides and antibody tools for early detection of cancer, as well as methods of using the same for in situ visualization and treatment of specific cancer types.
摘要翻译： 本发明人已经证明，对癌症抗原的循环自身抗体作为用于癌症早期检测的特异性和敏感的生物标志物具有希望。 因此，本发明涉及检测样品中癌症的方法，其包括利用来自人类粘蛋白的糖肽诱饵与不同的癌症相关的O-聚糖。 检测到的抗体被证实为糖肽特异性，并且可以区分例如。 结肠直肠癌患者和健康个体。 本发明人还开发了基于鉴定的糖肽表位诱饵的单克隆抗体，并证明了相关靶抗原的差异表达。 因此，本发明以锁和密钥为基础的方式包括用于癌症早期检测的糖肽和抗体工具，以及将其用于原位可视化和治疗特定癌症类型的方法。
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