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1. 发明申请

US20070263098A1 Weight adjustment in color correction 有权
标题翻译：颜色校正中的重量调整
公开(公告)号：US20070263098A1
公开(公告)日：2007-11-15
申请号：US11414043
申请日：2006-04-27
申请人： Shuxue Quan , Chinchuan Chiu , Xiaoyun Jiang
发明人： Shuxue Quan , Chinchuan Chiu , Xiaoyun Jiang
IPC分类号： H04N5/228
CPC分类号： H04N9/67 , H04N1/6086 , H04N1/628
摘要： Automatic weight adjustment (AWA) to derive an optimal color correction matrix may address unbalanced color reproduction performance among different illuminations and/or unbalanced color reproduction performance for specific memory colors. AWA may emphasize particular colors and equalize color performance. AWA may be implemented in an automatic process with optional manual operation.
摘要翻译：导出最佳颜色校正矩阵的自动权重调整（AWA）可以解决特定存储器颜色的不同照明之间的不平衡色彩再现性能和/或不平衡色彩再现性能。 AWA可以强调特定的颜色并均衡色彩表现。 AWA可以在具有可选手动操作的自动过程中实现。

2. 发明申请

US20070216777A1 Systems, methods, and apparatus for exposure control 有权
标题翻译：用于曝光控制的系统，方法和装置
公开(公告)号：US20070216777A1
公开(公告)日：2007-09-20
申请号：US11378720
申请日：2006-03-17
申请人： Shuxue Quan , Chinchuan Chiu , Xiaoyun Jiang
发明人： Shuxue Quan , Chinchuan Chiu , Xiaoyun Jiang
IPC分类号： H04N5/228
CPC分类号： H04N5/2351 , G06K9/34 , G06K9/4642 , H04N1/628 , H04N5/23219 , H04N9/045
摘要： Embodiments include methods of image processing in which pixels of an image are classified according to color. An exposure control operation is performed according to the pixel classifications. In one example, the pixels are classified according to a predetermined segmentation of a color space, based on predicted sensor responses. In another example, the pixels are classified according to a color selected from among at least two colors.
摘要翻译：实施例包括图像处理的方法，其中图像的像素根据颜色分类。根据像素分类进行曝光控制动作。在一个示例中，基于预测的传感器响应，根据颜色空间的预定分割来对像素进行分类。在另一示例中，根据从至少两种颜色中选择的颜色对像素进行分类。

3. 发明申请

US20070104472A1 Skin color prioritized automatic focus control via sensor-dependent skin color detection 失效
标题翻译：皮肤颜色通过传感器相关的皮肤颜色检测优先考虑自动对焦
公开(公告)号：US20070104472A1
公开(公告)日：2007-05-10
申请号：US11402481
申请日：2006-04-11
申请人： Shuxue Quan , Chinchuan Chiu , Xiaoyun Jiang
发明人： Shuxue Quan , Chinchuan Chiu , Xiaoyun Jiang
IPC分类号： G03B17/00
CPC分类号： G03B13/36 , G03B7/08 , G06K9/4652 , H04N5/23212
摘要： The disclosure is directed to techniques for automatic focus control. The automatic focus control techniques prioritize focus of a camera based on skin tone using a skin color detection approach which is intrinsically image sensor-dependent. Sensor-dependent skin color detection to support automatic skin tone prioritized focus control in a camera can enhance the focus of people in the scene. The techniques may be especially useful in digital video camera design, digital still photo camera design, and sensor applications involving people tracking. Sensor-dependent skin color detection is performed once a specific sensor is characterized by taking several raw images of a standard color test target in controlled illumination conditions. Sensor-dependent skin color detection can provide high detection precision and reliability. With sensor-dependent skin color detection, the focus of a camera can be automatically adjusted to prioritize regions of an image containing skin tones.
摘要翻译：本公开涉及用于自动聚焦控制的技术。自动聚焦控制技术使用肤色检测方法基于肤色优先考虑摄像机的焦点，该肤色检测方法本质上是与图像传感器相关的。传感器相关的皮肤颜色检测功能，可以在摄像机中支持自动肤色优先对焦控制，增强人们对现场的关注。这些技术在数字摄像机设计，数码相机照相机设计和涉及人物跟踪的传感器应用中尤其有用。一旦特定传感器的特征在于在受控照明条件下拍摄标准颜色测试目标的几个原始图像，则执行依赖于传感器的皮肤颜色检测。传感器相关的皮肤颜色检测可以提供高检测精度和可靠性。使用与传感器相关的皮肤颜色检测功能，可以自动调整相机的焦点，以优先考虑包含肤色的图像区域。

4. 发明申请

US20070043527A1 Systems, methods, and apparatus for image processing, for color classification, and for skin color detection 有权
标题翻译：用于图像处理，颜色分类和肤色检测的系统，方法和装置
公开(公告)号：US20070043527A1
公开(公告)日：2007-02-22
申请号：US11208261
申请日：2005-08-18
申请人： Shuxue Quan , Chinchuan Chiu , Xiaoyun Jiang
发明人： Shuxue Quan , Chinchuan Chiu , Xiaoyun Jiang
IPC分类号： G01C25/00 , G01D18/00 , G01C19/00 , G01F25/00 , G06F19/00 , G01P21/00 , G01D21/00 , G01M19/00 , G01R35/00
CPC分类号： G06T7/408 , G06K9/4652 , G06T7/90
摘要： Embodiments include a method of image processing including decomposing a reflectance spectrum for a test surface into a linear combination of reflectance spectra of a set of test targets. The coefficient vector calculated in this decomposition is used to predict a response of an imaging sensor to the test surface. A plurality of such predicted responses may be used for various applications involving color detection and/or classification, including human skin tone detection.
摘要翻译：实施例包括图像处理方法，包括将测试表面的反射光谱分解为一组测试对象的反射光谱的线性组合。在该分解中计算的系数向量用于预测成像传感器对测试表面的响应。多个这样的预测响应可以用于涉及颜色检测和/或分类的各种应用，包括人肤色检测。

5. 发明授权

US07545421B2 Apparatus, system, and method for optimizing gamma curves for digital image devices 有权
标题翻译：用于优化数字图像设备的伽马曲线的装置，系统和方法
公开(公告)号：US07545421B2
公开(公告)日：2009-06-09
申请号：US11146484
申请日：2005-06-06
申请人： Shuxue Quan , Andrew Chinchuan Chiu , Xiaoyun Jiang
发明人： Shuxue Quan , Andrew Chinchuan Chiu , Xiaoyun Jiang
IPC分类号： H04N5/202 , H04N17/00 , H04N17/02
CPC分类号： H04N9/69 , H04N1/6077 , H04N1/6083
摘要： An apparatus, system, and method provide optimization of color space conversion using a joint quality metric representing differences between reference human visual representations and converted device captured image representations in a perceptual uniform color space, where the conversion includes transforming a nonstandard color space (RGB) to a perceptual standard color space (sRGB) and where the joint quality metric includes a color portion, a noise portion, and a contrast portion. An optical sensor produces a digital reference signal when capturing an image of a reference source such as a Macbeth ColorChecker color rendition chart. After white balancing and color correcting the digital reference signal, the gamma curve parameters are determined by minimizing the joint quality metric which is based on differences, within a uniform perceptual color space such as CIELAB, between the gamma curve compensated signal and the standard values for the reference source. The noise portion and contrast portion take into account the noise and the contrast of the gamma curve compensated signal resulting in a gamma curve parameter that is optimized with respect to color, noise, and contrast.
摘要翻译：装置，系统和方法使用表示参考人类视觉表示之间的差异的联合质量度量和感知统一色彩空间中的转换器件捕获图像表示来提供色彩空间转换的优化，其中转换包括变换非标准颜色空间（RGB）到感知标准色彩空间（sRGB），并且其中联合质量度量包括颜色部分，噪声部分和对比度部分。当捕获诸如Macbeth ColorChecker颜色再现图表的参考源的图像时，光学传感器产生数字参考信号。在白平衡和颜色校正数字参考信号之后，伽马曲线参数通过最小化基于伽马曲线补偿信号和标准值之间的统一感知色彩空间（例如CIELAB）内的差异的联合质量度量来确定参考来源。噪声部分和对比部分考虑了伽马曲线补偿信号的噪声和对比度，导致相对于颜色，噪声和对比度优化的伽马曲线参数。

6. 发明授权

US08208758B2 Video sensor-based automatic region-of-interest detection 失效
标题翻译：基于视频传感器的自动感兴趣区域检测
公开(公告)号：US08208758B2
公开(公告)日：2012-06-26
申请号：US11363820
申请日：2006-02-28
申请人： Haohong Wang , Shuxue Quan , Khaled Helmi El-Maleh , Chinchuan Andrew Chiu , Xiaoyun Jiang
发明人： Haohong Wang , Shuxue Quan , Khaled Helmi El-Maleh , Chinchuan Andrew Chiu , Xiaoyun Jiang
IPC分类号： G06K9/20
CPC分类号： G06K9/00234 , H04N1/628 , H04N9/643
摘要： The disclosure is directed to techniques for region-of-interest (ROI) video processing based on low-complexity automatic ROI detection within video frames of video sequences. The low-complexity automatic ROI detection may be based on characteristics of video sensors within video communication devices. In other cases, the low-complexity automatic ROI detection may be based on motion information for a video frame and a different video frame of the video sequence. The disclosed techniques include a video processing technique capable of tuning and enhancing video sensor calibration, camera processing, ROI detection, and ROI video processing within a video communication device based on characteristics of a specific video sensor. The disclosed techniques also include a sensor-based ROI detection technique that uses video sensor statistics and camera processing side-information to improve ROI detection accuracy. The disclosed techniques also include a motion-based ROI detection technique that uses motion information obtained during motion estimation in video processing.
摘要翻译：本公开涉及基于视频序列的视频帧内的低复杂度自动ROI检测的感兴趣区域（ROI）视频处理技术。低复杂度的自动ROI检测可以基于视频通信设备内的视频传感器的特性。在其他情况下，低复杂度自动ROI检测可以基于视频帧的运动信息和视频序列的不同视频帧。所公开的技术包括基于特定视频传感器的特性，能够在视频通信设备内调整和增强视频传感器校准，相机处理，ROI检测和ROI视频处理的视频处理技术。所公开的技术还包括基于传感器的ROI检测技术，其使用视频传感器统计和相机处理侧信息来提高ROI检测精度。所公开的技术还包括基于运动的ROI检测技术，其使用在视频处理中的运动估计期间获得的运动信息。

7. 发明授权

US08120658B2 Hand jitter reduction system for cameras 有权
标题翻译：手抖动降低系统
公开(公告)号：US08120658B2
公开(公告)日：2012-02-21
申请号：US11534993
申请日：2006-09-25
申请人： Shuxue Quan , Chinchuan Andrew Chiu , Xiaoyun Jiang , Jingqiang Li , Ying Xie Noyes , Kalin Atanassov
发明人： Shuxue Quan , Chinchuan Andrew Chiu , Xiaoyun Jiang , Jingqiang Li , Ying Xie Noyes , Kalin Atanassov
IPC分类号： H04N5/228 , G03B17/00
CPC分类号： H04N5/23248 , G06T5/003 , G06T5/50 , G06T2207/10024 , G06T2207/20201 , H04N5/2352 , H04N5/2353 , H04N5/243
摘要： A camera system in normal mode and hand jitter reduction (hjr) mode may comprise generating a first exposure time-gain product by multiplying the normal mode exposure time with the normal mode gain. It may further comprise modifying the normal mode exposure time and gain and multiplying these modified parameters to generate a second exposure time-gain product for a hjr mode that reduces the difference between the first exposure time-gain product and the second exposure time-gain product. To reduce the difference the normal mode frame rate may also be modified. Operation of a camera in normal mode may be in response to a sensed light level being above a threshold. The hjr mode may be selected by the user while the camera is operating. The hjr mode may be used in response to a sensed light level being lower than the threshold.
摘要翻译：正常模式和手抖动降低（hjr）模式的相机系统可以包括通过将正常模式曝光时间与正常模式增益相乘来产生第一曝光时间增益积。它还可以包括修改正常模式曝光时间并增益并且乘以这些修改的参数以产生用于hjr模式的第二曝光时间增益乘积，其减小第一曝光时间增益乘积与第二曝光时间增益乘积之间的差。为了减小差异，也可以修改正常模式帧速率。在正常模式下照相机的操作可以响应于感测到的光电平高于阈值。当相机运行时，用户可以选择hjr模式。响应于感测到的光水平低于阈值，可以使用hjr模式。

8. 发明授权

US08019170B2 Video frame motion-based automatic region-of-interest detection 有权
标题翻译：基于视频帧运动的自动感兴趣区域检测
公开(公告)号：US08019170B2
公开(公告)日：2011-09-13
申请号：US11364285
申请日：2006-02-28
申请人： Haohong Wang , Shuxue Quan , Khaled Helmi El-Maleh , Chinchuan Andrew Chiu , Xiaoyun Jiang
发明人： Haohong Wang , Shuxue Quan , Khaled Helmi El-Maleh , Chinchuan Andrew Chiu , Xiaoyun Jiang
IPC分类号： G06K9/36 , G06K9/00 , H04N11/02
CPC分类号： G06K9/00234 , H04N19/17 , H04N19/61
摘要： The disclosure is directed to techniques for region-of-interest (ROI) video processing based on low-complexity automatic ROI detection within video frames of video sequences. The low-complexity automatic ROI detection may be based on characteristics of video sensors within video communication devices. In other cases, the low-complexity automatic ROI detection may be based on motion information for a video frame and a different video frame of the video sequence. The disclosed techniques include a video processing technique capable of tuning and enhancing video sensor calibration, camera processing, ROI detection, and ROI video processing within a video communication device based on characteristics of a specific video sensor. The disclosed techniques also include a sensor-based ROI detection technique that uses video sensor statistics and camera processing side-information to improve ROI detection accuracy. The disclosed techniques also include a motion-based ROI detection technique that uses motion information obtained during motion estimation in video processing.
摘要翻译：本公开涉及基于视频序列的视频帧内的低复杂度自动ROI检测的感兴趣区域（ROI）视频处理技术。低复杂度的自动ROI检测可以基于视频通信设备内的视频传感器的特性。在其他情况下，低复杂度自动ROI检测可以基于视频帧的运动信息和视频序列的不同视频帧。所公开的技术包括基于特定视频传感器的特性，能够在视频通信设备内调整和增强视频传感器校准，相机处理，ROI检测和ROI视频处理的视频处理技术。所公开的技术还包括基于传感器的ROI检测技术，其使用视频传感器统计和相机处理侧信息来提高ROI检测精度。所公开的技术还包括基于运动的ROI检测技术，其使用在视频处理中的运动估计期间获得的运动信息。

9. 发明申请

US20070268501A1 Line or text-based image processing tools 失效
标题翻译：线或文字图像处理工具
公开(公告)号：US20070268501A1
公开(公告)日：2007-11-22
申请号：US11436470
申请日：2006-05-17
申请人： Xiaoyun Jiang , Chinchuan Andrew Chiu , Shuxue Quan
发明人： Xiaoyun Jiang , Chinchuan Andrew Chiu , Shuxue Quan
IPC分类号： G06T1/00
CPC分类号： H04N5/235 , G06T5/006 , G06T7/11 , G06T7/194 , G06T2207/10008 , G06T2207/30176 , H04N1/387
摘要： In accordance with one embodiment of the disclosure, apparatus are provided, including an image processor, a unique image processing mechanism, and a unique image processing activation mechanism. The image processor includes the unique image processing mechanism, which processes a certain type of image. The unique image processing activation mechanism causes the unique image processing mechanism to process a given image.
摘要翻译：根据本公开的一个实施例，提供了包括图像处理器，独特图像处理机构和唯一图像处理激活机构的装置。图像处理器包括处理特定类型图像的唯一图像处理机构。独特的图像处理激活机制使独特的图像处理机制处理给定的图像。

10. 发明申请

US20070076957A1 Video frame motion-based automatic region-of-interest detection 有权
标题翻译：基于视频帧运动的自动感兴趣区域检测
公开(公告)号：US20070076957A1
公开(公告)日：2007-04-05
申请号：US11364285
申请日：2006-02-28
申请人： Haohong Wang , Shuxue Quan , Khaled El-Maleh , Chlachuan Chiu , Xiaoyun Jiang
发明人： Haohong Wang , Shuxue Quan , Khaled El-Maleh , Chlachuan Chiu , Xiaoyun Jiang
IPC分类号： G06K9/46 , G06K9/00 , G06K9/34
CPC分类号： G06K9/00234 , H04N19/17 , H04N19/61
摘要： The disclosure is directed to techniques for region-of-interest (ROI) video processing based on low-complexity automatic ROI detection within video frames of video sequences. The low-complexity automatic ROI detection may be based on characteristics of video sensors within video communication devices. In other cases, the low-complexity automatic ROI detection may be based on motion information for a video frame and a different video frame of the video sequence. The disclosed techniques include a video processing technique capable of tuning and enhancing video sensor calibration, camera processing, ROI detection, and ROI video processing within a video communication device based on characteristics of a specific video sensor. The disclosed techniques also include a sensor-based ROI detection technique that uses video sensor statistics and camera processing side-information to improve ROI detection accuracy. The disclosed techniques also include a motion-based ROI detection technique that uses motion information obtained during motion estimation in video processing.
摘要翻译：本公开涉及基于视频序列的视频帧内的低复杂度自动ROI检测的感兴趣区域（ROI）视频处理技术。低复杂度的自动ROI检测可以基于视频通信设备内的视频传感器的特性。在其他情况下，低复杂度自动ROI检测可以基于视频帧的运动信息和视频序列的不同视频帧。所公开的技术包括基于特定视频传感器的特性，能够在视频通信设备内调整和增强视频传感器校准，相机处理，ROI检测和ROI视频处理的视频处理技术。所公开的技术还包括基于传感器的ROI检测技术，其使用视频传感器统计和相机处理侧信息来提高ROI检测精度。所公开的技术还包括基于运动的ROI检测技术，其使用在视频处理中的运动估计期间获得的运动信息。

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