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1. 发明授权

US08650014B2 Controlling the number of iterations in image reconstruction 有权
标题翻译：控制图像重建中的迭代次数
公开(公告)号：US08650014B2
公开(公告)日：2014-02-11
申请号：US13313077
申请日：2011-12-07
申请人： Alexander Hans Vija , Amos Yahil
发明人： Alexander Hans Vija , Amos Yahil
IPC分类号： G06F17/10
CPC分类号： G06T11/006 , G06T2211/424
摘要： An iterative reconstruction method to reconstruct an object includes determining, in a series of iteration steps, updated objects, wherein each iteration step includes determining a data model from an input object, and determining a stop-criterion of the data model on the basis of a chi-square-gamma statistic. The method further includes determining that the stop-criterion of the data model has transitioned from being outside the limitation of a preset threshold value to being inside the limitation, ending the iterations, and selecting one of the updated objects to be the reconstructed object.
摘要翻译：用于重建对象的迭代重建方法包括在一系列迭代步骤中确定更新的对象，其中每个迭代步骤包括从输入对象确定数据模型，以及基于a的确定数据模型的停止准则卡方伽马统计量。该方法还包括确定数据模型的停止准则已经从超出预设阈值的限制转移到限制内部，结束迭代，并且选择更新后的对象中的一个作为重建对象。

2. 发明授权

US08503811B2 Filters for denoising digital images with minimized blur and shape distortion and controlled deblurring 有权
标题翻译：用于去除数字图像的滤波器，其最小化模糊和形状失真以及受控制的去模糊
公开(公告)号：US08503811B2
公开(公告)日：2013-08-06
申请号：US11753548
申请日：2007-05-24
申请人： Amos Yahil
发明人： Amos Yahil
IPC分类号： G06K9/40
CPC分类号： G06K9/40 , G06T5/002 , G06T5/003 , G06T5/10 , G06T2207/20056 , H04N5/21
摘要： A curvature-preserving filter having a null covariance matrix is applied to an input image to produce a denoised output image for output to a graphic display device or to a machine analysis tool. In one embodiment, the input image is a small kernel consisting of a limited number of pixels and the filter is applied to the input image by direct summation. In another embodiment, a digital image is input into an image processor that executes a Fourier transform to produce a Fourier-transformed signal. The curvature-preserving filter is applied to the Fourier-transformed signal in Fourier space to produce a denoised signal, then the denoised signal is transformed by an inverse Fourier transform to generate a denoised output image In an alternate embodiment, the filter further produces a deblurred signal by including an inverse point-response function.
摘要翻译：具有零协方差矩阵的曲率保持滤波器被施加到输入图像以产生去噪的输出图像以输出到图形显示装置或机器分析工具。在一个实施例中，输入图像是由有限数量的像素组成的小内核，并且通过直接求和将滤波器应用于输入图像。在另一个实施例中，将数字图像输入到执行傅里叶变换以产生傅里叶变换信号的图像处理器。将曲率保留滤波器应用于傅立叶空间中的傅里叶变换信号以产生去噪信号，然后通过逆傅立叶变换来变换去噪信号，以生成去噪输出图像。在替代实施例中，滤波器进一步产生去模糊信号通过包括反点响应功能。

3. 发明授权

US08058601B2 Determining a multimodal pixon map for tomographic-image reconstruction 有权
标题翻译：确定断层图像重建的多峰像素图
公开(公告)号：US08058601B2
公开(公告)日：2011-11-15
申请号：US12369176
申请日：2009-02-11
申请人： Alexander Hans Vija , Amos Yahil
发明人： Alexander Hans Vija , Amos Yahil
IPC分类号： H01L27/00
CPC分类号： G06T5/001 , G06T5/50 , G06T2207/10072 , G06T2207/10084 , G06T2207/20212 , G06T2207/20216 , G06T2207/20221 , G06T2207/20224 , G06T2207/30016
摘要： A computer-implemented method includes causing a computer system to execute instructions for providing a first data set and a second data set, each derived from a common object, providing a first tomographic image object associated with the first data set providing a second tomographic image object associated with the second data set, generating a multimodal pixon map for pixon smoothing on the basis of the first data set, the first tomographic image object, the second data set, and the second tomographic image object, and outputting the multimodal pixon map.
摘要翻译：计算机实现的方法包括使计算机系统执行用于提供第一数据集和第二数据集的指令，每个从公共对象导出的数据集和第二数据集提供与提供第二断层图像对象的第一数据集相关联的第一断层图像对象与所述第二数据集相关联，基于所述第一数据集，所述第一断层图像对象，所述第二数据集和所述第二断层图像对象生成用于像素平滑的多模式像素图，并输出所述多峰像素图。

4. 发明申请

US20090110254A1 External Pixon Smoothing for Tomographic Image Reconstruction Technical Field 有权
标题翻译：用于断层图像重建的外部Pixon平滑技术领域
公开(公告)号：US20090110254A1
公开(公告)日：2009-04-30
申请号：US11931084
申请日：2007-10-31
申请人： A. Hans Vija , Amos Yahil
发明人： A. Hans Vija , Amos Yahil
IPC分类号： G06K9/00
CPC分类号： G06T11/006 , G06T2211/424
摘要： In an aspect, tomographically reconstructing a 3D image object corresponding to a data set includes reconstructing a first reconstructed object from the data set, receiving a smoothing map, smoothing the first reconstructed object based on the smoothing map thereby creating a first smoothed object, and outputting the first smoothed object as the 3D image object.In another aspect, smoothing a first object thereby creating a smoothed object having a smoothed value associated to each object point in object space includes receiving the first object, determining, in a series of steps, single-kernel-smoothed objects, wherein each iteration step is associated with a kernel function and includes, determining a start object based on the first object, and smoothing the start object using the kernel function of the iteration step, thereby creating the single-kernel-smoothed object having single-kernel-smoothed values associated to each object point, and constructing the smoothed object from the single-kernel-smoothed values.
摘要翻译：在一方面，层析成像地重建与数据集相对应的3D图像对象包括从数据集重建第一重建对象，接收平滑图，基于平滑图平滑第一重建对象，从而创建第一平滑对象，并输出第一个平滑对象作为3D图像对象。在另一方面，平滑第一对象从而创建具有与对象空间中的每个对象点相关联的平滑值的平滑对象包括接收第一对象，在一系列步骤中确定单个内核平滑的对象，其中每个迭代步骤与内核函数相关联，并且包括：基于第一对象确定起始对象，并使用迭代步骤的内核函数来平滑起始对象，由此创建具有相关联的单内核平滑值的单内核平滑对象到每个对象点，并从单个内核平滑的值构建平滑的对象。

5. 发明授权

US07328182B1 System and method for prediction of behavior in financial systems 失效
标题翻译：金融系统行为预测系统和方法
公开(公告)号：US07328182B1
公开(公告)日：2008-02-05
申请号：US09404122
申请日：1999-09-23
申请人： Amos Yahil , Richard Puetter
发明人： Amos Yahil , Richard Puetter
IPC分类号： G06Q40/00
CPC分类号： G06F17/18 , G06Q40/00 , G06Q40/06
摘要： A computer-based system and method are provided to determine the minimum number of factors required to account for input data by seeking an approximate minimum complexity model. In an exemplary embodiment, covariance in the daily returns of financial securities is estimated by generating a positive-definite estimate of the elements of a covariance matrix consistent with the input data. Complexity of the covariance matrix is minimized by assuming that the number of independent parameters is likely to be much smaller than the number of elements in the covariance matrix. Each variable is described as a linear combination of independent factors and a part that fluctuates independently. The simplest model for the covariance matrix is selected so that it fits the data to within a specified level as determined by the selected goodness-of-fit criterion.
摘要翻译：提供基于计算机的系统和方法，以通过寻求近似最小复杂度模型来确定解决输入数据所需的最小因素数量。在示例性实施例中，通过产生与输入数据一致的协方差矩阵的元素的正定估计来估计金融证券的日收益的协方差。通过假设独立参数的数量可能远小于协方差矩阵中的元素的数量，协方差矩阵的复杂度被最小化。每个变量被描述为独立因子和独立波动的部分的线性组合。选择协方差矩阵的最简单模型，使得它将数据拟合到由选定的拟合优度准则确定的指定水平内。

6. 发明授权

US06490374B2 Accelerated signal encoding and reconstruction using pixon method 失效
标题翻译：使用pixon方法加速信号编码和重建
公开(公告)号：US06490374B2
公开(公告)日：2002-12-03
申请号：US09905528
申请日：2001-08-22
申请人： Richard Puetter , Amos Yahil
发明人： Richard Puetter , Amos Yahil
IPC分类号： G06K956
CPC分类号： G06T9/005 , G06T9/00
摘要： The method identifies a Pixon element, which is a fundamental and indivisible unit of information, and a Pixon basis, which is the set of possible functions from which the Pixon elements are selected. The actual Pixon elements selected from this basis during the reconstruction process represents the smallest number of such units required to fit the data and representing the minimum number of parameters necessary to specify the image. The Pixon kernels can have arbitrary properties (e.g., shape size, and/or position) as needed to best fit the data.
摘要翻译：该方法识别Pixon元素，它是基本和不可分割的信息单元，并且Pixon基础是Pixon元素被选择的可能函数的集合。在重建过程中从此基础中选择的实际Pixon元件代表拟合数据所需的最小数量，并表示指定图像所需的参数的最小数量。 Pixon内核可以根据需要具有任意属性（例如，形状大小和/或位置）以最佳地适应数据。

7. 发明授权

US08675983B2 Method to determine a pixon map in iterative image reconstruction and spectral analysis 有权
标题翻译：在迭代图像重建和光谱分析中确定像素图的方法
公开(公告)号：US08675983B2
公开(公告)日：2014-03-18
申请号：US13448363
申请日：2012-04-16
申请人： Amos Yahil
发明人： Amos Yahil
IPC分类号： G06K9/40
CPC分类号： G06T5/002 , G06T2207/30016
摘要： A method for iterative reconstruction of an object containing noise using the pixon method determines the pixon map from a variable that is used to update the object in the iteration. The updating variable is based on an optimized merit function, and smoothes the updating variable during each iteration. The updating variable depends on the reconstruction method, but is typically a gradient of a merit function or a multiplicative update factor. The updated object can optionally also be further smoothed at the end of the iteration, using the pixon map determined during the iteration.
摘要翻译：使用pixon方法对包含噪声的对象进行迭代重建的方法从用于在迭代中更新对象的变量确定像素映射。更新变量基于优化优化函数，并在每次迭代期间平滑更新变量。更新变量取决于重建方法，但通常是优值函数或乘法更新因子的梯度。更新的对象可以可选地在迭代结束时使用在迭代期间确定的像素映射进一步平滑。

8. 发明申请

US20140029830A1 MULTIMODAL IMAGE RECONSTRUCTION 有权
标题翻译：多模式图像重建
公开(公告)号：US20140029830A1
公开(公告)日：2014-01-30
申请号：US14042949
申请日：2013-10-01
申请人： Alexander Hans Vija , Amos Yahil
发明人： Alexander Hans Vija , Amos Yahil
IPC分类号： G06T5/00
CPC分类号： G06T5/001 , G06T5/50 , G06T2207/10072 , G06T2207/10084 , G06T2207/20212 , G06T2207/20216 , G06T2207/20221 , G06T2207/20224 , G06T2207/30016
摘要： Computer-implemented methods of reconstructing an image object for a measured object in object space from image data in data space include causing a computer to execute instructions for providing zonal information separating the object space into at least two zones, providing at least two zonal image objects, each zonal image object being associated with one of the at least two zones, reconstructing the image object using a data model derived from forward projecting the zonal image objects into data space, wherein the contribution of each zonal image object to the data model is weighted according to a zonal scaling factor, and outputting the image object.
摘要翻译：计算机实现的方法从数据空间中的图像数据重建对象空间中的测量对象的图像对象包括使计算机执行用于提供将对象空间分成至少两个区域的区域信息的指令，提供至少两个区带图像对象每个区域图像对象与至少两个区域中的一个区域相关联，使用从向前投影区域图像对象导出的数据模型重建图像对象到数据空间，其中每个区域图像对象对数据模型的贡献被加权根据区域缩放因子，并输出图像对象。

9. 发明授权

US08577103B2 Multimodal image reconstruction 有权
标题翻译：多模态图像重建
公开(公告)号：US08577103B2
公开(公告)日：2013-11-05
申请号：US12369159
申请日：2009-02-11
申请人： Alexander Hans Vija , Amos Yahil
发明人： Alexander Hans Vija , Amos Yahil
IPC分类号： G06K9/00
CPC分类号： G06T5/001 , G06T5/50 , G06T2207/10072 , G06T2207/10084 , G06T2207/20212 , G06T2207/20216 , G06T2207/20221 , G06T2207/20224 , G06T2207/30016
摘要： Computer-implemented methods of reconstructing an image object for a measured object in object space from image data in data space include causing a computer to execute instructions for providing zonal information separating the object space into at least two zones, providing at least two zonal image objects, each zonal image object being associated with one of the at least two zones, reconstructing the image object using a data model derived from forward projecting the zonal image objects into data space, wherein the contribution of each zonal image object to the data model is weighted according to a zonal scaling factor, and outputting the image object.
摘要翻译：计算机实现的方法从数据空间中的图像数据重建对象空间中的测量对象的图像对象包括使计算机执行用于提供将对象空间分成至少两个区域的区域信息的指令，提供至少两个区带图像对象每个区域图像对象与至少两个区域中的一个区域相关联，使用从向前投影区域图像对象导出的数据模型重建图像对象到数据空间，其中每个区域图像对象对数据模型的贡献被加权根据区域缩放因子，并输出图像对象。

10. 发明授权

US08184876B2 NNLS image reconstruction 有权
标题翻译： NNLS图像重建
公开(公告)号：US08184876B2
公开(公告)日：2012-05-22
申请号：US11931294
申请日：2007-10-31
申请人： A. Hans Vija , Amos Yahil
发明人： A. Hans Vija , Amos Yahil
IPC分类号： G06K9/00
CPC分类号： G06T11/006 , G06T2211/424
摘要： In an aspect, reconstructing an image object associated with an input data set, includes for each step, in a series of iteration steps, determining an updated object from an input object based on a data model of the input object, a weighting-factor data set, and a gradient object, wherein the weighting-factor data set includes modified entries of the input data set. Reconstructing the image object further includes following a last iteration, outputting one of the updated objects as the image object.
摘要翻译：在一个方面，重构与输入数据集相关联的图像对象，包括对于每个步骤，在一系列迭代步骤中，基于输入对象的数据模型，从输入对象确定更新的对象，加权因子数据设置和渐变对象，其中加权因子数据集包括输入数据集的修改条目。重建图像对象还包括在最后一次迭代之后，将更新的对象之一作为图像对象输出。

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