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1. 发明申请

US20110075935A1 METHOD TO MEASURE LOCAL IMAGE SIMILARITY BASED ON THE L1 DISTANCE MEASURE 审中-公开
标题翻译：基于距离测量方法测量局部图像相似度的方法
公开(公告)号：US20110075935A1
公开(公告)日：2011-03-31
申请号：US12567454
申请日：2009-09-25
申请人： Farhan A. Baqai , Kenichi Nishio , Xiaogang Dong , Nobuyuki Matsushita , Akira Matsui , Jiro Takatori
发明人： Farhan A. Baqai , Kenichi Nishio , Xiaogang Dong , Nobuyuki Matsushita , Akira Matsui , Jiro Takatori
IPC分类号： G06K9/46
CPC分类号： G06T7/0002
摘要： A method of adaptive local image similarity measurement based on the L1 distance measure is described. A relationship between distance measures is used to estimate appropriate thresholds for various patch sizes. The choice of patch size depends on the degradations contained in the image and the application. The relation between the similarity measures is established using the distribution of L1 distances for various patch sizes. For larger degradations, similarity measure with a bigger patch size is employed. For lesser imperfections, a smaller patch size produces acceptable results. To keep the computational overhead manageable, the smallest patch size that gives the desired image quality is employed.
摘要翻译：描述了基于L1距离测量的自适应局部图像相似性测量的方法。距离测量之间的关系用于估计各种补丁大小的适当阈值。补丁大小的选择取决于图像和应用程序中包含的降级。使用各种贴片尺寸的L1距离的分布来建立相似性度量之间的关系。对于较大的降解，采用具有较大贴片尺寸的相似度测量。对于较小的缺陷，较小的贴片尺寸产生可接受的结果。为了保持计算开销的可管理性，采用给出所需图像质量的最小补丁大小。

2. 发明申请

US20080240203A1 Method of and apparatus for analyzing noise in a signal processing system 有权
标题翻译：用于分析信号处理系统中的噪声的方法和装置
公开(公告)号：US20080240203A1
公开(公告)日：2008-10-02
申请号：US11731261
申请日：2007-03-29
申请人： Farhan A. Baqai , Akira Matsui , Kenichi Nishio
发明人： Farhan A. Baqai , Akira Matsui , Kenichi Nishio
IPC分类号： H04B1/00
CPC分类号： G01V1/28 , G06K9/40 , G06T5/002 , G06T2207/10024 , G06T2207/20016 , G06T2207/30168 , G10L25/18 , H04N5/217 , H04N9/646
摘要： A fast accurate multi-channel frequency dependent scheme for analyzing noise in a signal processing system is described herein. Noise is decomposed within each channel into frequency bands and sub-band noise is propagated. To avoid the computational complexity of a convolution, traditional methods either assume the noise to be white, at any point in the signal processing pipeline, or they just ignore spatial operations. By assuming the noise to be white within each frequency band, it is possible to propagate any type of noise (white, colored, Gaussian, non-Gaussian and others) across a spatial transformation in a very fast and accurate manner. To demonstrate the efficacy of this technique, noise propagation is considered across various spatial operations in an image processing pipeline. Furthermore, the computational complexity is a very small fraction of the computational cost of propagating an image through a signal processing system.
摘要翻译：本文描述了用于分析信号处理系统中的噪声的快速准确的多通道频率相关方案。噪声在每个通道内分解成频带，并且传播子带噪声。为了避免卷积的计算复杂度，传统方法或者假设噪声为白色，在信号处理流水线中的任何点，或者它们只是忽略空间操作。通过在每个频带内假设噪声为白色，可以以非常快速和准确的方式跨越空间变换传播任何类型的噪声（白色，彩色，高斯，非高斯等）。为了演示该技术的功效，在图像处理流水线中，考虑了各种空间操作中的噪声传播。此外，计算复杂度是通过信号处理系统传播图像的计算成本的很小一部分。

3. 发明授权

US07277575B2 System and method for effectively performing an image data transformation procedure 有权
标题翻译：用于有效执行图像数据变换过程的系统和方法
公开(公告)号：US07277575B2
公开(公告)日：2007-10-02
申请号：US10721628
申请日：2003-11-25
申请人： Farhan A. Baqai , Ted J. Cooper , Akira Matsui , Kenichi Nishio
发明人： Farhan A. Baqai , Ted J. Cooper , Akira Matsui , Kenichi Nishio
IPC分类号： G06K9/00 , H04N5/228
CPC分类号： H04N5/243 , H04N1/58 , H04N1/6086 , H04N5/217 , H04N9/045 , H04N9/67 , H04N17/002
摘要： A system and method for effectively performing an image data transformation procedure may include an electronic camera device that is implemented to capture primary image data corresponding to a photographic target. A transformation manager in the electronic camera device may be configured to convert the primary image data into secondary image data by utilizing selectable transformation parameters that are optimized by utilizing an optimization metric to thereby minimize noise characteristics in the secondary image data. The transformation parameters may be stored in parameter lookup tables in the electronic camera device for use by the transformation manager in performing the image data transformation procedure.
摘要翻译：用于有效执行图像数据变换过程的系统和方法可以包括被实现为捕获与摄影目标对应的主要图像数据的电子照相机设备。电子照相机装置中的变换管理器可以被配置为通过利用通过利用优化度量优化的可选择的变换参数将主图像数据转换成次级图像数据，从而使辅助图像数据中的噪声特性最小化。变换参数可以存储在电子照相机设备中的参数查找表中，以供变换管理器在执行图像数据变换过程中使用。

4. 发明授权

US08711249B2 Method of and apparatus for image denoising 失效
标题翻译：图像去噪的方法和装置
公开(公告)号：US08711249B2
公开(公告)日：2014-04-29
申请号：US11731542
申请日：2007-03-29
申请人： Farhan A. Baqai , Akira Matsui , Kenichi Nishio
发明人： Farhan A. Baqai , Akira Matsui , Kenichi Nishio
IPC分类号： H04N5/21
CPC分类号： H04N1/00 , G06T5/002 , H04N5/232 , H04N9/045 , H04N9/646 , H04N9/735
摘要： An image denoising system and method of implementing the image denoising system is described herein. Noise is decomposed within each channel into frequency bands, and sub-band noise is propagated. Denoising is then able to occur at any node in a camera pipeline after accurately predicting noise that is signal level-dependent, frequency dependent and has inter-channel correlation. A methodology is included for estimating image noise in each color channel at a sensor output based on average image level and camera noise parameters. A scheme is implemented for detecting a peak-white image level for each color channel and predicting image level values for representative colors. Based on a noise model and camera parameters, noise levels are predicted for each color channel for each color patch and these noise levels are propagated to the denoising node. A three dimentional LUT correlates signal level to noise level. Then, a denoising threshold is adaptively controlled.
摘要翻译：本文描述了一种图像去噪系统和实现图像去噪系统的方法。噪声在每个通道内分解成频带，并且传播子带噪声。然后，在准确预测信号电平依赖，频率依赖并具有信道间相关性的噪声之后，可以在相机流水线中的任何节点处进行去噪。包括一种基于平均图像水平和相机噪声参数估计传感器输出中每个颜色通道中的图像噪声的方法。实现用于检测每个颜色通道的峰 - 白图像水平并且预测代表性颜色的图像水平值的方案。基于噪声模型和摄像机参数，为每个色标的每个颜色通道预测噪声水平，并且将这些噪声水平传播到去噪节点。三维LUT将信号电平与噪声电平相关联。然后，自适应地控制去噪阈值。

5. 发明授权

US08108211B2 Method of and apparatus for analyzing noise in a signal processing system 有权
标题翻译：用于分析信号处理系统中的噪声的方法和装置
公开(公告)号：US08108211B2
公开(公告)日：2012-01-31
申请号：US11731261
申请日：2007-03-29
申请人： Farhan A. Baqai , Akira Matsui , Kenichi Nishio
发明人： Farhan A. Baqai , Akira Matsui , Kenichi Nishio
IPC分类号： G10L21/02
CPC分类号： G01V1/28 , G06K9/40 , G06T5/002 , G06T2207/10024 , G06T2207/20016 , G06T2207/30168 , G10L25/18 , H04N5/217 , H04N9/646
摘要： A fast accurate multi-channel frequency dependent scheme for analyzing noise in a signal processing system is described herein. Noise is decomposed within each channel into frequency bands and sub-band noise is propagated. To avoid the computational complexity of a convolution, traditional methods either assume the noise to be white, at any point in the signal processing pipeline, or they just ignore spatial operations. By assuming the noise to be white within each frequency band, it is possible to propagate any type of noise (white, colored, Gaussian, non-Gaussian and others) across a spatial transformation in a very fast and accurate manner. To demonstrate the efficacy of this technique, noise propagation is considered across various spatial operations in an image processing pipeline. Furthermore, the computational complexity is a very small fraction of the computational cost of propagating an image through a signal processing system.
摘要翻译：本文描述了用于分析信号处理系统中的噪声的快速准确的多通道频率相关方案。噪声在每个通道内分解成频带，并且传播子带噪声。为了避免卷积的计算复杂度，传统方法或者假设噪声为白色，在信号处理流水线中的任何点，或者它们只是忽略空间操作。通过在每个频带内假设噪声为白色，可以以非常快速和准确的方式跨越空间变换传播任何类型的噪声（白色，彩色，高斯，非高斯等）。为了演示该技术的功效，在图像处理流水线中，考虑了各种空间操作中的噪声传播。此外，计算复杂度是通过信号处理系统传播图像的计算成本的很小一部分。

6. 发明申请

US20080239094A1 Method of and apparatus for image denoising 失效
标题翻译：图像去噪的方法和装置
公开(公告)号：US20080239094A1
公开(公告)日：2008-10-02
申请号：US11731542
申请日：2007-03-29
申请人： Farhan A. Baqai , Akira Matsui , Kenichi Nishio
发明人： Farhan A. Baqai , Akira Matsui , Kenichi Nishio
IPC分类号： H04N5/225 , H04N9/73
CPC分类号： H04N1/00 , G06T5/002 , H04N5/232 , H04N9/045 , H04N9/646 , H04N9/735
摘要： An image denoising system and method of implementing the image denoising system is described herein. Noise is decomposed within each channel into frequency bands, and sub-band noise is propagated. Denoising is then able to occur at any node in a camera pipeline after accurately predicting noise that is signal level-dependent, frequency dependent and has inter-channel correlation. A methodology is included for estimating image noise in each color channel at a sensor output based on average image level and camera noise parameters. A scheme is implemented for detecting a peak-white image level for each color channel and predicting image level values for representative colors. Based on a noise model and camera parameters, noise levels are predicted for each color channel for each color patch and these noise levels are propagated to the denoising node. A three dimentional LUT correlates signal level to noise level. Then, a denoising threshold is adaptively controlled.
摘要翻译：本文描述了一种图像去噪系统和实现图像去噪系统的方法。噪声在每个通道内分解成频带，传播子带噪声。然后，在准确预测信号电平依赖，频率依赖并具有信道间相关性的噪声之后，可以在相机流水线中的任何节点处进行去噪。包括一种基于平均图像水平和相机噪声参数估计传感器输出中每个颜色通道中的图像噪声的方法。实现用于检测每个颜色通道的峰 - 白图像水平并且预测代表性颜色的图像水平值的方案。基于噪声模型和摄像机参数，为每个色标的每个颜色通道预测噪声水平，并且将这些噪声水平传播到去噪节点。三维LUT将信号电平与噪声电平相关联。然后，自适应地控制去噪阈值。

7. 发明授权

US07557826B2 Method for device spectral sensitivity reconstruction 有权
标题翻译：器件光谱灵敏度重建方法
公开(公告)号：US07557826B2
公开(公告)日：2009-07-07
申请号：US11398196
申请日：2006-04-04
申请人： Alexander Berestov , Ted J Cooper , Kenichi Nishio , Farhan A. Baqai
发明人： Alexander Berestov , Ted J Cooper , Kenichi Nishio , Farhan A. Baqai
IPC分类号： H04N17/00 , H04N17/02 , H04N5/235 , H04N3/14 , H04N5/335 , H04N1/46 , H01J40/14 , H01L27/00
CPC分类号： H04N17/002 , H04N9/045
摘要： A method and system are provided for approximating spectral sensitivities of a particular image sensor, the image sensor having a color filter array positioned over the image sensor. In one example of the method, the method involves measuring spectral sensitivities of a set of image sensors each having a color filter array positioned over the image sensor, calculating mean spectral sensitivities of the set of image sensors for each color within the color filter array, measuring outputs of a particular image sensor when capturing a picture of a plurality of color patches under a first illuminant and calculating spectral sensitivities of the particular image sensor using the mean spectral sensitivities and the output of the particular image sensor. In some embodiments, the method further comprises utilizing the calculated spectral sensitivities to determine outputs of the particular image sensor under a second illuminant. In some embodiments, the method further comprises utilizing the calculated spectral sensitivities to calibrate a camera including the image sensor.
摘要翻译：提供了用于近似特定图像传感器的光谱灵敏度的方法和系统，该图像传感器具有位于图像传感器上方的滤色器阵列。在该方法的一个示例中，该方法涉及测量一组图像传感器的光谱灵敏度，每个图像传感器具有位于图像传感器上方的滤色器阵列，计算滤色器阵列内每种颜色的图像传感器组的平均光谱灵敏度，测量特定图像传感器的输出，当在第一光源下拍摄多个色块的图像时，使用平均光谱灵敏度和特定图像传感器的输出来计算特定图像传感器的光谱灵敏度。在一些实施例中，该方法还包括利用所计算的光谱灵敏度来确定第二光源下的特定图像传感器的输出。在一些实施例中，该方法还包括利用所计算的光谱灵敏度来校准包括图像传感器的照相机。

8. 发明申请

US20100067821A1 System and method for denoising using signal dependent adaptive weights 有权
标题翻译：使用信号相关自适应权重去噪的系统和方法
公开(公告)号：US20100067821A1
公开(公告)日：2010-03-18
申请号：US12284055
申请日：2008-09-18
申请人： Farhan A. Baqai
发明人： Farhan A. Baqai
IPC分类号： G06K9/40
CPC分类号： G06K9/40 , G06T5/002 , G06T5/20
摘要： A system and method for denoising using signal dependent adaptive weights includes an imaging device that captures image data corresponding to a photographic target. A denoising manager identifies similar pixels from said image data that are located within a pre-defined processing window around the pixel to be denoised. The denoising manager computes signal-dependent weighting values that correspond to respective ones of the similar pixels. The denoising manager then calculates the denoised pixel value by utilizing the weighting values in conjunction with raw pixel values of the similar pixel set. In this manner all pixels in the image are denoised.
摘要翻译：使用依赖于信号的自适应权重去噪的系统和方法包括捕获与摄影目标对应的图像数据的成像装置。去噪管理器从所述图像数据中识别位于预定义处理窗口内的类似像素，围绕要去噪的像素。去噪管理器计算与相应像素相应的信号相关加权值。去噪管理器然后通过利用加权值结合相似像素组的原始像素值来计算去噪像素值。以这种方式，图像中的所有像素都被去噪声。

9. 发明授权

US07558423B2 Error analysis for image interpolation and demosaicing using lattice theory 有权
标题翻译：使用晶格理论对图像插值和去马赛克进行误差分析
公开(公告)号：US07558423B2
公开(公告)日：2009-07-07
申请号：US11394836
申请日：2006-03-31
申请人： Farhan A. Baqai , Alexander Berestov
发明人： Farhan A. Baqai , Alexander Berestov
IPC分类号： G06K9/00 , G06K9/32 , G09G5/00 , H04N1/46
CPC分类号： H04N9/045 , G06T3/4015
摘要： A spatial transformation methodology provides a new image interpolation scheme, or analyzes an already existing one. Examples of spatial operations include but are not limited to, demosaicing, edge enhancement or sharpening, linear filtering, and non-linear filtering. A demosaicing operation is described herein, although the scheme is applied generally to spatial transformation operations. The spatial transformation methodology includes detailed expressions for the noise covariance after a spatial operation is performed for each of the three color channels, red, green, and blue. A color filter array is in the form of a Bayer pattern and demosaicing is performed using a 4-neighbor bilinear interpolation. Using lattice theory, the spatial transformation methodology predicts noise covariance after demosaicing in terms of the input noise covariance and an autocorrelation function of the image is determined for a given selectable number of shifts.
摘要翻译：空间变换方法提供了一种新的图像插值方案，或分析了已有的图像插值方案。空间操作的示例包括但不限于去马赛克，边缘增强或锐化，线性滤波和非线性滤波。这里描述了去马赛克操作，尽管该方案通常应用于空间变换操作。空间变换方法包括对三个颜色通道（红色，绿色和蓝色）中的每一个执行空间操作之后的噪声协方差的详细表达式。滤色器阵列是拜耳图案的形式，并且使用四相双线性插值来执行去马赛克。使用晶格理论，空间变换方法根据输入噪声协方差来估计去马赛克之后的噪声协方差，并且对于给定的可选择的移位数确定图像的自相关函数。

10. 发明授权

US08836824B2 Systems and methods for threshold-based luma channel noise reduction 有权
标题翻译：基于阈值的亮度信道噪声降低的系统和方法
公开(公告)号：US08836824B2
公开(公告)日：2014-09-16
申请号：US13151967
申请日：2011-06-02
申请人： Farhan A. Baqai , Ralph Brunner
发明人： Farhan A. Baqai , Ralph Brunner
IPC分类号： H04N5/217 , H04N5/21 , G06K9/40
CPC分类号： H04N5/21 , G06K9/40 , H04N5/217
摘要： Systems, methods, and computer readable media for removing noise from the luminance (luma) channel in a digital image represented in the YUV color space are described. In general, an element from the luma channel may be selected and a region about that element defined. Using a threshold that is based on the selected luma element's value, similar luma values within the defined region may be identified and combined to provide a substitute value. The substitute value may be blended with the value of the selected element within the image's luma channel. In another implementation, element values from both an image's luma and chroma channels may be used to identify similar luma values.
摘要翻译：描述了用于从YUV颜色空间中表示的数字图像中的亮度（亮度）通道去除噪声的系统，方法和计算机可读介质。通常，可以选择来自亮度通道的元件，并且定义关于该元件的区域。使用基于所选择的亮度元素值的阈值，可以识别并组合所定义区域内的相似亮度值以提供替代值。替代值可以与图像的亮度通道内的所选择的元素的值相混合。在另一实现中，可以使用来自图像的亮度和色度通道的元素值来识别相似的亮度值。

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