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1.发明授权Mutual information regularized Bayesian framework for multiple image restoration 失效相互信息正则化贝叶斯框架用于多个图像恢复公开(公告)号：US07684643B2
公开(公告)日：2010-03-23
申请号：US11252334
申请日：2005-10-17
申请人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
CPC分类号： G06T5/002 , G06T5/20 , G06T5/50 , G06T2207/10132 , G06T2207/20076 , G06T2207/20192 , G06T2207/30004
摘要： A method for multiple image restoration includes receiving a plurality of images corrupted by noise, and initializing a reduced noise estimate of the plurality of images. The method further includes estimating a probability of distributions of noise around each pixel and the probability of the signal, estimating mutual information between noise on the plurality of images based on the probabilities of distributions of noise around each pixel and the joint distribution of noise, and updating each pixel within a search range to determine a restored image by reducing the mutual information between the noise on the plurality of images.
摘要翻译： 一种用于多重图像恢复的方法包括：接收由噪声破坏的多个图像，以及初始化所述多个图像的降低的噪声估计。 该方法还包括估计每个像素周围的噪声分布概率和信号的概率，基于每个像素周围的噪声分布的概率和噪声的联合分布来估计多个图像上的噪声之间的相互信息;以及 更新搜索范围内的每个像素以通过减少多个图像上的噪声之间的相互信息来确定恢复的图像。
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公开(公告)号：US07529422B2
公开(公告)日：2009-05-05
申请号：US11231435
申请日：2005-09-20
申请人： Hongcheng Wang , Yunqiang Chen , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Hongcheng Wang , Yunqiang Chen , Tong Fang , Jason Jenn-Kwei Tyan
IPC分类号： G06K9/40
CPC分类号： G06K9/40 , G06T5/002 , G06T5/003 , G06T5/20 , G06T2207/20192 , G06T2207/30004
摘要： A gradient-based image enhancement and restoration method and system which applies an orientation-isotropy adaptive filter to the gradients of high structured regions, and directly suppresses the gradients in the noise or texture regions. A new gradient field is obtained from which image reconstruction can progress using least mean squares. The method generally comprises: inputting image data; calculating image gradients; defining the gradients as having large or small coherence; filtering the large coherence gradients for edge enhancement; suppressing the small coherence gradients for noise reduction; assembling an enhanced gradient field from the filtered large coherence and suppressed small coherence gradients; and optimizing the assembled gradient field into a restored image.
摘要翻译： 一种基于梯度的图像增强和恢复方法和系统，其对高结构区域的梯度应用方向 - 各向同性自适应滤波器，并且直接抑制噪声或纹理区域中的梯度。 获得一个新的梯度场，从该图像重建可以使用最小均方进行。 该方法通常包括：输入图像数据; 计算图像梯度; 将梯度定义为具有大或小的一致性; 过滤大的相干梯度进行边缘增强; 抑制噪声降低的小相干梯度; 从滤波后的大相干和抑制小相干梯度组装增强梯度场; 并将组装的梯度场优化为恢复的图像。
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公开(公告)号：US07508968B2
公开(公告)日：2009-03-24
申请号：US11229106
申请日：2005-09-16
申请人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
CPC分类号： G06T5/002 , G06T5/50 , G06T2207/10081 , G06T2207/10132 , G06T2207/20076 , G06T2207/20192 , G06T2207/30004
摘要： A method and system for improving image quality by compounding a plurality of images to mitigate the effects of image noise. The method utilizes the independency between noise components for multiple image compounding. An effective measurement is designed to regularize the independency between noise in a traditional generative model based filtering framework, thereby enabling a more robust algorithmic solution to inaccurate signal/noise modeling. The method generally comprises selecting a plurality of images, calculating the residual error on each image; calculating the noise likelihood of each image, calculating the signal likelihood of the image, performing an independence analysis to regularize an independence constraint between the residual errors of the images, and summing the signal likelihood, noise likelihood and pairwise independency to approximate the joint independency between the residual errors.
摘要翻译： 一种用于通过复合多个图像来减轻图像噪声的影响来提高图像质量的方法和系统。 该方法利用多重图像复合的噪声分量之间的独立性。 设计了一种有效的测量方法来规范传统的基于生成模型的滤波框架中的噪声之间的独立性，从而实现了更为鲁棒的算法解决方案，使信号/噪声建模不准确。 该方法通常包括选择多个图像，计算每个图像上的残差; 计算每个图像的噪声可能性，计算图像的信号可能性，执行独立性分析以使图像的残差误差之间的独立性约束正规化，并且将信号似然性，噪声似然性和成对独立性相加以近似于 剩余错误。
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4.发明授权System and method for structure enhancement and noise reduction in medical images 失效医学图像中结构增强和降噪的系统和方法公开(公告)号：US08139891B2
公开(公告)日：2012-03-20
申请号：US11926877
申请日：2007-10-29
IPC分类号： G06K9/46 , G06K9/66 , G06K9/40 , G06K9/64 , G06K9/36 , G06K9/20 , G06K1/00 , H04N5/228 , H04N7/01 , H04N11/20 , H04N1/40 , G06F15/00 , G03F3/08
CPC分类号： G06K9/40 , G06T5/002 , G06T5/008 , G06T5/20 , G06T2207/10072 , G06T2207/20016 , G06T2207/20028 , G06T2207/30101
摘要： A method and system for structure enhancement and noise reduction of medical images using adaptive filtering is disclosed. The method utilizes feature estimation methods to determine multiple feature values for each pixel in an input image. Each pixel is then filtered using a filter type selected based on the feature values for that pixel.
摘要翻译： 公开了一种使用自适应滤波的医学图像的结构增强和降噪的方法和系统。 该方法利用特征估计方法来确定输入图像中每个像素的多个特征值。 然后使用基于该像素的特征值选择的滤波器类型来过滤每个像素。
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公开(公告)号：US07831097B2
公开(公告)日：2010-11-09
申请号：US11682013
申请日：2007-03-05
申请人： Yunqiang Chen , Lin Cheng , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Yunqiang Chen , Lin Cheng , Tong Fang , Jason Jenn-Kwei Tyan
CPC分类号： G01N23/046 , G01N2223/419 , G06T11/006 , G06T2211/421 , G06T2211/424
摘要： A system and method for image reconstruction is disclosed. The method divides iterative image reconstruction into two stages, in the image and Radon space, respectively. In the first stage, filtered back projection and adaptive filtering in the image space are combined to generate a refined reconstructed image of a sinogram residue. This reconstructed image represents an update direction in the image space. In the second stage, the update direction is transformed to the Radon space, and a step size is determined to minimize a difference between the sinogram residue and a Radon transform of the refined reconstructed image of the sinogram residue in the Radon space. These stages are repeated iteratively until the solution converges.
摘要翻译： 公开了一种用于图像重建的系统和方法。 该方法分别在图像和氡空间中将迭代图像重建分为两个阶段。 在第一阶段，滤波反投影和图像空间中的自适应滤波被组合以产生正弦图残差的精细重建图像。 该重建图像表示图像空间中的更新方向。 在第二阶段中，将更新方向转换为Radon空间，并且确定步长以最小化Radon空间中的正弦图残差的精细重建图像的正弦图残差和Radon变换之间的差异。 迭代重复这些阶段，直到解得到收敛。
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6.发明授权公开(公告)号：US07817839B2
公开(公告)日：2010-10-19
申请号：US11566328
申请日：2006-12-04
IPC分类号： G06K9/00
CPC分类号： A61B8/00 , A61B8/5238
摘要： A method for removing speckle noise from ultrasound images includes providing a plurality of digitized ultrasound (US) images, each image comprising a plurality of intensities corresponding to a domain of points on a 2-dimensional grid, initializing an initial gain associated with each of said plurality of US images, estimating a signal sub-space by averaging over each US image divided by its associated gain, and estimating an updated gain by projecting its associated image into said signal sub-space. If an absolute difference of said updated gain and said initial gain is less than a pre-determined quantity, obtaining an averaged image from said signal sub-space, estimating an optimal Wiener filter from said plurality of US images and said averaged image, and filtering said averaged image with said Wiener filter, wherein said speckle noise is substantially minimized.
摘要翻译： 一种用于从超声图像中去除斑点噪声的方法包括提供多个数字化超声波（US）图像，每个图像包括对应于二维网格上的点的域的多个强度，初始化与每个所述 多个美国图像，通过对每个US图像进行平均而除以其相关联的增益来估计信号子空间，以及通过将其相关图像投影到所述信号子空间来估计更新的增益。 如果所述更新的增益和所述初始增益的绝对差小于预定量，则从所述信号子空间获得平均图像，从所述多个US图像和所述平均图像中估计最佳维纳滤波器，以及滤波 所述维纳滤波器的所述平均图像，其中所述斑点噪声基本上最小化。
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公开(公告)号：US07286679B2
公开(公告)日：2007-10-23
申请号：US10739732
申请日：2003-12-18
申请人： Tong Fang , Jason Jenn-Kwei Tyan , Ming Fang
发明人： Tong Fang , Jason Jenn-Kwei Tyan , Ming Fang
IPC分类号： H04R25/00
CPC分类号： H04R25/658 , B33Y80/00 , H04R25/552 , H04R25/652 , H04R2225/77 , Y10T29/49572
摘要： A system and method for modeling binaural shells for hearing aids, wherein the system is configured to load data associated with a first and a second ear shell. The system is further configured to register the data associated with the first and the second ear shells and process the first ear shell and the second ear shells, wherein the processing on the first ear shell is automatically performed on the second ear shell.
摘要翻译： 一种用于对用于助听器的双耳壳进行建模的系统和方法，其中所述系统被配置为加载与第一耳壳和第二耳壳相关联的数据。 该系统还被配置为登记与第一耳壳和第二耳壳相关联的数据并处理第一耳壳和第二耳壳，其中在第二耳壳上自动执行对第一耳壳的处理。
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公开(公告)号：US07084870B2
公开(公告)日：2006-08-01
申请号：US10739733
申请日：2003-12-18
申请人： Tong Fang , Jason Jenn-Kwei Tyan , Ming Fang
发明人： Tong Fang , Jason Jenn-Kwei Tyan , Ming Fang
IPC分类号： G06T17/00
CPC分类号： H04R25/658 , B29C64/00 , B33Y80/00 , H04R25/552 , H04R25/652 , H04R2225/77
摘要： A system and method for modeling binaural shells for hearing aids, wherein the system is configured to load data associated with a first and a second ear shell. The system is further configured to register the data associated with the first and the second ear shells and process the first ear shell. The system is also configured to store data associated with processing the first ear shell and then map the data associated with processing the first ear shell to the second ear shell. Subsequently, the mapped second ear shell is interactively adjusted by an operator to compensate for an inconsistency in the mapped second ear shell.
摘要翻译： 一种用于对用于助听器的双耳壳进行建模的系统和方法，其中所述系统被配置为加载与第一耳壳和第二耳壳相关联的数据。 该系统还被配置为登记与第一和第二耳壳相关联的数据并处理第一耳壳。 该系统还被配置为存储与处理第一耳壳相关联的数据，然后将与将第一耳壳处理相关联的数据映射到第二耳壳。 随后，映射的第二耳壳由操作者交互地调整以补偿映射的第二耳壳中的不一致。
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公开(公告)号：US07308328B2
公开(公告)日：2007-12-11
申请号：US10842882
申请日：2004-05-11
申请人： Tong Fang , Jason Jenn-Kwei Tyan , Ming Fang
发明人： Tong Fang , Jason Jenn-Kwei Tyan , Ming Fang
IPC分类号： G06F19/00
CPC分类号： H04R25/658 , B33Y50/00 , B33Y80/00 , H04R25/552 , H04R25/652 , H04R2225/77
摘要： A system and method for synchronously processing ear shells for hearing aids comprising: loading data associated with a first and second ear shell; determining whether to perform a rigid or non-rigid registration of the data associated with the first and second ear shells, wherein the rigid registration is performed when shapes of the first and second ear shells are within a predetermined threshold, and the non-rigid registration is performed when the shapes of the first and second ear shells are not within the predetermined threshold; registering the data associated with the first and second ear shells; processing the first and second ear shells, wherein the processing is synchronously performed; and outputting the processed first and second ear shells to a display device.
摘要翻译： 一种用于同步处理用于助听器的耳壳的系统和方法，包括：加载与第一和第二耳壳相关联的数据; 确定是否执行与第一和第二耳壳相关联的数据的刚性或非刚性配准，其中当第一耳壳的形状和第二耳壳的形状在预定阈值内时执行刚性配准，并且非刚性配准 当所述第一和第二耳壳的形状不在所述预定阈值内时执行; 注册与第一和第二耳壳相关联的数据; 处理第一和第二耳壳，其中同步执行处理; 并将所处理的第一和第二耳罩输出到显示装置。
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10.发明授权公开(公告)号：US08086427B2
公开(公告)日：2011-12-27
申请号：US11462804
申请日：2006-08-07
申请人： Tong Fang , Gozde Unal , Fred McBagonluri , Alexander Zouhar , Hui Xie , Gregory G. Slabaugh , Jason Jenn-Kwei Tyan
发明人： Tong Fang , Gozde Unal , Fred McBagonluri , Alexander Zouhar , Hui Xie , Gregory G. Slabaugh , Jason Jenn-Kwei Tyan
CPC分类号： H04R25/652 , H04R25/658 , H04R25/70 , H04R2225/77
摘要： A method of designing hearing aid molds is disclosed whereby two shapes corresponding to graphical images of ear impressions are registered with each other to facilitate joint processing of the hearing aid design. In a first embodiment, a first graphical representation of a first ear impression is received and a feature, such as the aperture of the ear impression, is identified on that graphical model. A first vector is generated that represents the orientation and shape of that first feature. The three-dimensional translation and rotation of that first vector are determined that are necessary to align the first vector with a second vector representing the orientation and a shape of a feature, once again such as the aperture, of a second ear impression. In another embodiment, this alignment is then refined by minimizing the sum of the distances between points on the first and second graphical representations.
摘要翻译： 公开了一种设计助听器模具的方法，其中对应于耳朵印象的图形图像的两个形状彼此对准以便于助听器设计的联合处理。 在第一实施例中，接收第一耳朵印象的第一图形表示，并且在该图形模型上识别诸如耳朵印象的孔的特征。 生成表示该第一特征的取向和形状的第一向量。 确定该第一矢量的三维平移和旋转是必要的，以使第一矢量与代表第二耳朵印象的特征的取向和形状的第二矢量（例如孔）对齐。 在另一个实施例中，然后通过最小化第一和第二图形表示上的点之间的距离之和来改进该对准。
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