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公开(公告)号：US07557826B2
公开(公告)日：2009-07-07
申请号：US11398196
申请日：2006-04-04
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。
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公开(公告)号：US07847822B2
公开(公告)日：2010-12-07
申请号：US11818801
申请日：2007-06-14
CPC分类号： H04N17/02 , H04N9/045 , H04N17/002
摘要： A system for and method of calibrating an imaging device efficiently is described herein. The imaging device acquires an image of an object that is more than one color. The information acquired is then transferred to a computing device. The information is then used to generate a set of data which represents information which was not acquired in the image. The set of data is generated based on statistical prediction using a training data set. Using acquired image information and the set of data, an imaging device is able to be calibrated. Since the process of calibration utilizing this method only requires one image to be acquired and a reduced set of image information to be sent to the computing device, the process is more efficient than previous implementations.
摘要翻译： 这里描述了一种有效地校准成像装置的系统和方法。 成像装置获取多于一种颜色的对象的图像。 然后将所获取的信息传送到计算设备。 然后，该信息用于生成表示在图像中未获取的信息的一组数据。 基于使用训练数据集的统计预测生成数据集。 使用获取的图像信息和数据集，能够对成像装置进行校准。 由于使用该方法的校准过程仅需要获取一个图像并且将减少的图像信息集合发送到计算设备，所以该处理比先前的实现更有效。
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公开(公告)号：US20080309767A1
公开(公告)日：2008-12-18
申请号：US11818801
申请日：2007-06-14
CPC分类号： H04N17/02 , H04N9/045 , H04N17/002
摘要： A system for and method of calibrating an imaging device efficiently is described herein. The imaging device acquires an image of an object that is more than one color. The information acquired is then transferred to a computing device. The information is then used to generate a set of data which represents information which was not acquired in the image. The set of data is generated based on statistical prediction using a training data set. Using acquired image information and the set of data, an imaging device is able to be calibrated. Since the process of calibration utilizing this method only requires one image to be acquired and a reduced set of image information to be sent to the computing device, the process is more efficient than previous implementations.
摘要翻译： 这里描述了一种有效地校准成像装置的系统和方法。 成像装置获取多于一种颜色的对象的图像。 然后将所获取的信息传送到计算设备。 然后，该信息用于生成表示在图像中未获取的信息的一组数据。 基于使用训练数据集的统计预测生成数据集。 使用获取的图像信息和数据集，能够对成像装置进行校准。 由于使用该方法的校准过程仅需要获取一个图像并且将减少的图像信息集合发送到计算设备，所以该处理比先前的实现更有效。
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公开(公告)号：US07782367B2
公开(公告)日：2010-08-24
申请号：US11818796
申请日：2007-06-14
IPC分类号： H04N5/228
CPC分类号： G06K9/209 , H04N9/045 , H04N9/735 , H04N17/002
摘要： A system for and method of determining calibration parameters while only capturing a single image is described herein. Furthermore, traditional calibration algorithms are avoided by the direct determination of the calibration parameters. The determination of the calibration parameters is possible by first determining a training data set from images acquired of a variety of objects with a multitude of colors. Then, using the training data set, regression coefficients are generated. A camera to be calibrated then acquires only one set of image information such as a single picture. Then, using the regression coefficients and the acquired information, the calibration parameters are directly estimated for that camera.
摘要翻译： 本文描述了仅捕获单个图像的确定校准参数的系统和方法。 此外，通过直接确定校准参数来避免传统的校准算法。 通过首先从具有多种颜色的各种物体获得的图像中确定训练数据集，可以确定校准参数。 然后，使用训练数据集，生成回归系数。 要校准的相机只能获取一组图像信息，例如单张图像。 然后，使用回归系数和所获取的信息，直接针对该相机估计校准参数。
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公开(公告)号：US20080310710A1
公开(公告)日：2008-12-18
申请号：US11818796
申请日：2007-06-14
IPC分类号： G06K9/00
CPC分类号： G06K9/209 , H04N9/045 , H04N9/735 , H04N17/002
摘要： A system for and method of determining calibration parameters while only capturing a single image is described herein. Furthermore, traditional calibration algorithms are avoided by the direct determination of the calibration parameters. The determination of the calibration parameters is possible by first determining a training data set from images acquired of a variety of objects with a multitude of colors. Then, using the training data set, regression coefficients are generated. A camera to be calibrated then acquires only one set of image information such as a single picture. Then, using the regression coefficients and the acquired information, the calibration parameters are directly estimated for that camera.
摘要翻译： 本文描述了仅捕获单个图像的确定校准参数的系统和方法。 此外，通过直接确定校准参数来避免传统的校准算法。 通过首先从具有多种颜色的各种物体获得的图像中确定训练数据集，可以确定校准参数。 然后，使用训练数据集，生成回归系数。 要校准的相机只能获取一组图像信息，例如单张图像。 然后，使用回归系数和所获取的信息，直接针对该相机估计校准参数。
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6.发明授权Error analysis for image interpolation and demosaicing using lattice theory 有权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
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。
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公开(公告)号：US08077205B2
公开(公告)日：2011-12-13
申请号：US11818795
申请日：2007-06-14
申请人： Alexander Berestov , Ted J. Cooper
发明人： Alexander Berestov , Ted J. Cooper
CPC分类号： H04N1/6033
摘要： A method of and system for calibrating an imaging device is described herein. An iterative method that attempts to find the best calibration parameters conditional upon an error metric is used. Regression is used to estimate values in a color space where the calibration is performed based upon a training data set. More calculation steps are required than would be for a regression in raw RGB space, but the convergence is faster in the color space where the calibration is performed, and the advantages using boundary conditions in the color space is able to provide improved calibration.
摘要翻译： 本文描述了用于校准成像装置的方法和系统。 使用迭代方法，尝试以错误度量为条件找到最佳校准参数。 回归用于估计基于训练数据集执行校准的色彩空间中的值。 需要比原始RGB空间中的回归更多的计算步骤，但是在执行校准的色彩空间中的收敛更快，并且使用颜色空间中的边界条件的优点能够提供改进的校准。
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公开(公告)号：US20080309968A1
公开(公告)日：2008-12-18
申请号：US11818795
申请日：2007-06-14
申请人： Alexander Berestov , Ted J. Cooper
发明人： Alexander Berestov , Ted J. Cooper
IPC分类号： G06F3/12
CPC分类号： H04N1/6033
摘要： A method of and system for calibrating an imaging device is described herein. An iterative method that attempts to find the best calibration parameters conditional upon an error metric is used. Regression is used to estimate values in a color space where the calibration is performed based upon a training data set. More calculation steps are required than would be for a regression in raw RGB space, but the convergence is faster in the color space where the calibration is performed, and the advantages using boundary conditions in the color space is able to provide improved calibration.
摘要翻译： 本文描述了用于校准成像装置的方法和系统。 使用迭代方法，尝试以错误度量为条件找到最佳校准参数。 回归用于估计基于训练数据集执行校准的色彩空间中的值。 需要比原始RGB空间中的回归更多的计算步骤，但是在执行校准的色彩空间中的收敛更快，并且使用颜色空间中的边界条件的优点能够提供改进的校准。
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公开(公告)号：US20070229666A1
公开(公告)日：2007-10-04
申请号：US11398196
申请日：2006-04-04
申请人： Alexander Berestov , Ted Cooper , Kenichi Nishio , Farhan Baqai
发明人： Alexander Berestov , Ted Cooper , Kenichi Nishio , Farhan Baqai
IPC分类号： H04N17/00
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。
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10.发明申请System And Method For Efficiently Generating Device-Dependent Anaglyph Images 审中-公开有效地生成设备依赖的浮雕图像的系统和方法公开(公告)号：US20140218410A1
公开(公告)日：2014-08-07
申请号：US13759294
申请日：2013-02-05
申请人： Sirui Hu , Alexander Berestov , Jianing Wei
发明人： Sirui Hu , Alexander Berestov , Jianing Wei
IPC分类号： G06T15/00
CPC分类号： H04N13/334
摘要： A system for efficiently generating device-dependent anaglyph images includes a display device for presenting anaglyph images in a three-dimensional format. An anaglyph converter includes a conversion manager that interacts with system users to perform configuration procedures for generating anaglyph images. The configuration procedures are utilized to define one or more imaging parameters that are dependent upon imaging characteristics of said display device. The imaging parameters may include ghosting reduction parameters and color adjustment parameters. A processor device typically controls the conversion manager to perform the anaglyph image generation procedures.
摘要翻译： 一种用于有效地产生装置相关的浮雕图像的系统包括用于以三维格式呈现浮雕图像的显示装置。 浮雕转换器包括与系统用户交互以执行用于生成浮雕图像的配置过程的转换管理器。 配置过程用于定义依赖于所述显示设备的成像特征的一个或多个成像参数。 成像参数可以包括重影减少参数和颜色调整参数。 处理器设备通常控制转换管理器执行浮雕图像生成过程。
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