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1. 发明授权

US08608073B2 System and method for robust real-time 1D barcode detection 有权
标题翻译：鲁棒实时1D条形码检测系统和方法
公开(公告)号：US08608073B2
公开(公告)日：2013-12-17
申请号：US13359489
申请日：2012-01-26
申请人： Farhan Baqai , Vivek Athalye , Neda Nategh , Todd Sachs
发明人： Farhan Baqai , Vivek Athalye , Neda Nategh , Todd Sachs
IPC分类号： G06K7/00 , G06K19/08
CPC分类号： G06K7/1413 , G06K7/1443 , G06K7/1452 , G06K7/1456
摘要： A fast image-based barcode detection and recognition technique allows a user of a device to analyze an image containing a barcode, locating the barcode containing region of the image automatically, without requiring a user to frame and align the image. In one embodiment, the technique may locate multiple omni-directional barcode regions simultaneously.
摘要翻译：基于快速图像的条形码检测和识别技术允许设备的用户分析包含条形码的图像，自动定位包含图像的区域的条形码，而不需要用户对图像进行框架和对准。在一个实施例中，该技术可以同时定位多个全方位条形码区域。

2. 发明授权

US08902283B2 Method and apparatus for converting a two-dimensional image into a three-dimensional stereoscopic image 有权
标题翻译：将二维图像转换为三维立体图像的方法和装置
公开(公告)号：US08902283B2
公开(公告)日：2014-12-02
申请号：US12900053
申请日：2010-10-07
申请人： Soo Hyun Bae , Farhan Baqai , Alexander Berestov
发明人： Soo Hyun Bae , Farhan Baqai , Alexander Berestov
IPC分类号： H04N13/00 , H04N13/02 , G06T15/40
CPC分类号： H04N13/261 , G06T15/40 , H04N13/122 , H04N2013/0081
摘要： The present invention is directed to a method and apparatus for converting a two-dimensional image into a stereoscopic three-dimensional image. In one embodiment, a method of converting a two-dimensional image into a stereoscopic three-dimensional image comprises identifying at least one corresponding pixel from a left eye image and determining a depth and an intensity value for the each pixel within a right eye image using the at least one corresponding pixel. The depth value is stored in a right eye depth map and the intensity value is stored in the right eye image. The method further comprises inpainting at least one occluded region within the right eye image using the right eye depth map.
摘要翻译：本发明涉及将二维图像转换为立体三维图像的方法和装置。在一个实施例中，将二维图像转换为立体三维图像的方法包括从左眼图像识别至少一个对应像素，并且使用以下方法确定右眼图像内的每个像素的深度和强度值所述至少一个对应的像素。深度值存储在右眼深度图中，强度值存储在右眼图像中。该方法还包括使用右眼深度图来修饰右眼图像内的至少一个闭塞区域。

3. 发明授权

US08731281B2 Wavelet transform on incomplete image data and its applications in image processing 有权
标题翻译：不完整图像数据的小波变换及其在图像处理中的应用
公开(公告)号：US08731281B2
公开(公告)日：2014-05-20
申请号：US13065729
申请日：2011-03-29
申请人： Xiaogang Dong , Farhan Baqai , Kenichi Nishio
发明人： Xiaogang Dong , Farhan Baqai , Kenichi Nishio
IPC分类号： G06K9/00
CPC分类号： G06T3/4015 , G06T5/002 , G06T2207/20064 , H04N9/045
摘要： A system and method for effectively performing wavelet transforms on incomplete image data includes an image processor that performs a green-pixel transformation procedure on incomplete color pixel matrices. The image processor then rearranges red, blue and transformed green-pixel into four quadrants of contiguous pixels and applies some two dimensional (2D) wavelet thresholding schemes on each quadrant. After thresholding, an inverse procedure is applied to reconstruct the pixel values on the incomplete color pixel matrices. For further de-correlation of image data, the image processor may stack similar image patches in a three dimensional (3D) array and apply incomplete-data wavelet thresholding on the 3D array. The incomplete-data wavelet thresholding procedure may be put in an improved local similarity measurement framework to achieve better performance of image processing tasks. A CPU device typically controls the image processor to effectively perform the image processing procedure.
摘要翻译：用于在不完整图像数据上有效地执行小波变换的系统和方法包括对不完整的彩色像素矩阵执行绿色像素变换过程的图像处理器。然后，图像处理器将红色，蓝色和变换的绿色像素重新排列成四个相邻像素的象限，并在每个象限上应用一些二维（2D）小波阈值方案。阈值处理后，应用逆过程来重构不完全色彩像素矩阵上的像素值。为了图像数据的进一步去相关，图像处理器可以在三维（3D）阵列中堆叠相似的图像块，并在3D阵列上应用不完全数据小波阈值。不完全数据小波阈值处理可以放在改进的局部相似度测量框架中，以实现更好的图像处理任务性能。 CPU设备通常控制图像处理器以有效地执行图像处理过程。

4. 发明申请

US20070236580A1 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：US20070236580A1
公开(公告)日：2007-10-11
申请号：US11394836
申请日：2006-03-31
申请人： Farhan Baqai , Alexander Berestov
发明人： Farhan Baqai , Alexander Berestov
IPC分类号： H04N5/228
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预测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。

5. 发明申请

US20070230774A1 Identifying optimal colors for calibration and color filter array design 审中-公开
标题翻译：识别校准和滤色器阵列设计的最佳颜色
公开(公告)号：US20070230774A1
公开(公告)日：2007-10-04
申请号：US11395120
申请日：2006-03-31
申请人： Farhan Baqai
发明人： Farhan Baqai
IPC分类号： G06K9/00
CPC分类号： G06K9/4652 , H04N1/6086 , H04N9/735
摘要： A color determination method utilizes color matching functions to approximate the imaging system's sensitivity characteristics. The illuminant conditions are modeled according to known illuminant intensity versus wavelength functions. Non-negative Matrix Factorization (NMF) is applied to a set of known reflectance data to decompose the known reflectance data set into a defined number of NMF basis vectors. In general, for an N-color based imaging system, N NMF basis functions are determined. Since basis functions provided by NMF are non-negative, the determined N NMF basis functions are related to actual physical colors. The NMF basis vectors are integrated with the illuminate conditions and color matching function(s) that approximate the imaging system's sensitivity to generate XYZ color values. These are converted to RGB values which are used to determine the optimal N colors for the N-color based imaging system.
摘要翻译：颜色确定方法利用颜色匹配功能近似成像系统的灵敏度特性。光源条件根据已知的光源强度对波长函数进行建模。将非负矩阵分解（NMF）应用于一组已知的反射率数据，以将已知的反射率数据集分解为限定数量的基于NMF的向量。通常，对于基于N色的成像系统，确定N NMF基函数。由于NMF提供的基函数是非负的，因此确定的N NMF基函数与实际物理颜色有关。 NMF基矢量与近似成像系统灵敏度的照明条件和颜色匹配功能集成，以产生XYZ颜色值。这些被转换为RGB值，用于确定基于N色的成像系统的最佳N色。

6. 发明申请

US20070229666A1 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：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。

7. 发明申请

US20120250976A1 Wavelet transform on incomplete image data and its applications in image processing 有权
标题翻译：不完整图像数据的小波变换及其在图像处理中的应用
公开(公告)号：US20120250976A1
公开(公告)日：2012-10-04
申请号：US13065729
申请日：2011-03-29
申请人： Xiaogang Dong , Farhan Baqai , Kenichi Nishio
发明人： Xiaogang Dong , Farhan Baqai , Kenichi Nishio
IPC分类号： G06K9/00
CPC分类号： G06T3/4015 , G06T5/002 , G06T2207/20064 , H04N9/045
摘要： A system and method for effectively performing wavelet transforms on incomplete image data includes an image processor that performs a green-pixel transformation procedure on incomplete color pixel matrices. The image processor then rearranges red, blue and transformed green-pixel into four quadrants of contiguous pixels and applies some two dimensional (2D) wavelet thresholding schemes on each quadrant. After thresholding, an inverse procedure is applied to reconstruct the pixel values on the incomplete color pixel matrices. For further de-correlation of image data, the image processor may stack similar image patches in a three dimensional (3D) array and apply incomplete-data wavelet thresholding on the 3D array. The incomplete-data wavelet thresholding procedure may be put in an improved local similarity measurement framework to achieve better performance of image processing tasks. A CPU device typically controls the image processor to effectively perform the image processing procedure.
摘要翻译：用于在不完整图像数据上有效地执行小波变换的系统和方法包括对不完整的彩色像素矩阵执行绿色像素变换过程的图像处理器。然后，图像处理器将红色，蓝色和变换的绿色像素重新排列成四个相邻像素的象限，并在每个象限上应用一些二维（2D）小波阈值方案。阈值处理后，应用逆过程来重构不完全色彩像素矩阵上的像素值。为了图像数据的进一步去相关，图像处理器可以在三维（3D）阵列中堆叠相似的图像块，并在3D阵列上应用不完全数据小波阈值。不完全数据小波阈值处理可以放在改进的局部相似度测量框架中，以实现更好的图像处理任务性能。 CPU设备通常控制图像处理器以有效地执行图像处理过程。

8. 发明授权

US09014490B2 Method to measure local image similarity and its application in image processing 有权
标题翻译：测量局部图像相似度的方法及其在图像处理中的应用
公开(公告)号：US09014490B2
公开(公告)日：2015-04-21
申请号：US12931962
申请日：2011-02-15
申请人： Xiaogang Dong , Farhan Baqai , Kenichi Nishio
发明人： Xiaogang Dong , Farhan Baqai , Kenichi Nishio
IPC分类号： G06K9/62 , G06T5/00
CPC分类号： G06K9/6215 , G06T5/002 , G06T2207/20076
摘要： A method for effectively performing local image similarity measurement is proposed. A system equipped with such a method for effectively performing an image processing task includes an image processor that performs an intermediate-results calculation procedure to calculate intermediate result values that are based upon corresponding pixels of a target patch and one or more similar patches. The image processor typically moves the target patch of the intermediate-results calculation to different locations in a raster order or some other organized order. The image processor then performs an intermediate-results combination procedure by calculating appropriate statistics of the intermediate result values to produce processed pixel values. A processor device typically controls the image processor to effectively perform the image processing tasks including, but not limited to, demosaicing and denoising.
摘要翻译：提出了一种有效执行局部图像相似度测量的方法。配备有用于有效执行图像处理任务的这种方法的系统包括执行中间结果计算过程以计算基于目标补丁和一个或多个相似补丁的相应像素的中间结果值的图像处理器。图像处理器通常将中间结果计算的目标补丁以光栅顺序或其他有组织的顺序移动到不同的位置。然后，图像处理器通过计算中间结果值的适当统计来执行中间结果组合过程以产生经处理的像素值。处理器设备通常控制图像处理器以有效地执行图像处理任务，包括但不限于去马赛克和去噪。

9. 发明授权

US08284260B2 Optimal raw RGB determination for color calibration 失效
标题翻译：颜色校准的最佳原始RGB确定
公开(公告)号：US08284260B2
公开(公告)日：2012-10-09
申请号：US12732525
申请日：2010-03-26
申请人： Xiaoling Wang , Farhan Baqai , Takami Mizukura , Naoya Kato
发明人： Xiaoling Wang , Farhan Baqai , Takami Mizukura , Naoya Kato
IPC分类号： H04N17/02 , H04N9/73
CPC分类号： H04N17/002 , H04N1/603 , H04N17/02
摘要： Improving color calibration, and similar operations, by generating an optimal raw RGB color chart, in the raw RGB domain, for an imaging device with a given type of image sensor, such as for a digital still camera. Calibration is performed in response to a constraint which takes into account the spectral sensitivity of the image sensor used on the camera as well as spectral reflectance and spectral radiance of multiple illuminants. Calibration is performed using the raw RGB color chart which is illuminant independent and image sensor specific and which can match the calibration performance of known calibration standards, such as Macbeth 24.
摘要翻译：通过在原始RGB域中为具有给定类型的图像传感器的成像装置（例如用于数字静态照相机）生成最佳的原始RGB颜色图来改善颜色校准和类似的操作。响应于考虑到在相机上使用的图像传感器的光谱灵敏度以及多个光源的光谱反射率和光谱辐射度的约束来执行校准。校准是使用独立的光源和图像传感器特定的原始RGB色彩图表进行的，可以匹配已知校准标准的校准性能，如Macbeth 24。

10. 发明申请

US20120207396A1 Method to measure local image similarity and its application in image processing 有权
标题翻译：测量局部图像相似度的方法及其在图像处理中的应用
公开(公告)号：US20120207396A1
公开(公告)日：2012-08-16
申请号：US12931962
申请日：2011-02-15
申请人： Xiaogang Dong , Farhan Baqai , Kenichi Nishio
发明人： Xiaogang Dong , Farhan Baqai , Kenichi Nishio
IPC分类号： G06K9/68
CPC分类号： G06K9/6215 , G06T5/002 , G06T2207/20076
摘要： A method for effectively performing local image similarity measurement is proposed. A system equipped with such a method for effectively performing an image processing task includes an image processor that performs an intermediate-results calculation procedure to calculate intermediate result values that are based upon corresponding pixels of a target patch and one or more similar patches. The image processor typically moves the target patch of the intermediate-results calculation to different locations in a raster order or some other organized order. The image processor then performs an intermediate-results combination procedure by calculating appropriate statistics of the intermediate result values to produce processed pixel values. A processor device typically controls the image processor to effectively perform the image processing tasks including, but not limited to, demosaicing and denoising.
摘要翻译：提出了一种有效执行局部图像相似度测量的方法。配备有用于有效执行图像处理任务的这种方法的系统包括执行中间结果计算过程以计算基于目标补丁和一个或多个相似补丁的相应像素的中间结果值的图像处理器。图像处理器通常将中间结果计算的目标补丁以光栅顺序或其他有组织的顺序移动到不同的位置。然后，图像处理器通过计算中间结果值的适当统计来执行中间结果组合过程以产生经处理的像素值。处理器设备通常控制图像处理器以有效地执行图像处理任务，包括但不限于去马赛克和去噪。

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