公开(公告)号：US20130016222A1

公开(公告)日：2013-01-17

申请号：US13180338

申请日：2011-07-11

申请人： Xiaoyun Jiang ,  Eri Haneda

发明人： Xiaoyun Jiang ,  Eri Haneda

IPC分类号： H04N17/06

CPC分类号： H04N17/002

摘要： This disclosure describes techniques for initially calibrating an image capture device. According to one aspect, the calibration includes calibrating parameters of an image filter for resolving the captured image. The method includes receiving a captured image of a test target and resolving the captured image using a set of initial parameters. A sharpness index of the resolved image is determined without matching the captured image to the test target. The sharpness index is used to minimize a cost function for determining parameters for use by the image capture device.

摘要翻译： 本公开描述了用于初始校准图像捕获装置的技术。 根据一个方面，校准包括校准用于解析所捕获图像的图像滤波器的参数。 该方法包括接收测试对象的拍摄图像并使用一组初始参数来解析所拍摄的图像。 确定解析图像的清晰度指数，而不将拍摄图像与测试对象相匹配。 清晰度指数用于最小化用于确定由图像捕获装置使用的参数的成本函数。

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。

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。

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。

公开(公告)号：US20090212113A1

公开(公告)日：2009-08-27

申请号：US12035644

申请日：2008-02-22

申请人： Chinchuan Andrew Chiu ,  Jingqiang Li ,  Hau Hwang ,  Hsiang-Tsun Li ,  Stephen Horton ,  Xiaoyun Jiang ,  Joseph Cheung

发明人： Chinchuan Andrew Chiu ,  Jingqiang Li ,  Hau Hwang ,  Hsiang-Tsun Li ,  Stephen Horton ,  Xiaoyun Jiang ,  Joseph Cheung

IPC分类号： G06K7/10

CPC分类号： G06K7/14 ,  G06K7/1417 ,  G06K7/1443 ,  G06K7/1447 ,  G07G1/0045

摘要： This disclosure describes barcode scanning techniques for an image capture device. The image capture device may automatically detect a barcode within an image while the image capture device is operating in a non-barcode image capture mode, such a default image capture mode. In one aspect, the detection of the barcode within the image may be based on a combination of identified edges and low intensity regions within the image. The image capture device may configure, based on the detection of the barcode, one or more image capture properties associated with the image capture device to improve a quality at which the images are captured. The image capture device captures the image in accordance with the configured image capture properties. The techniques may effectively provide a universal and integrated front-end for producing improved quality images of barcodes without requiring significant interaction with a user via a complicated user interface.

摘要翻译： 本公开描述了用于图像捕获设备的条形码扫描技术。 当图像捕获装置以非条形码图像捕获模式操作时，图像捕获装置可以自动检测图像内的条形码，这种默认图像拍摄模式。 在一个方面，图像内的条形码的检测可以基于图像内的识别边缘和低强度区域的组合。 图像捕获装置可以基于条形码的检测来配置与图像捕获装置相关联的一个或多个图像拍摄属性，以提高拍摄图像的质量。 图像捕获设备根据配置的图像捕获属性捕获图像。 这些技术可以有效地提供通用和集成的前端，用于产生条形码的改进的质量图像，而不需要通过复杂的用户界面与用户进行显着的交互。

公开(公告)号：US20070269124A1

公开(公告)日：2007-11-22

申请号：US11533664

申请日：2006-09-20

申请人： Hsiang-Tsun Li ,  Szepo Robert Huang ,  Xiaoyun Jiang

发明人： Hsiang-Tsun Li ,  Szepo Robert Huang ,  Xiaoyun Jiang

IPC分类号： G06K9/40 ,  G06K9/34

CPC分类号： H04N5/235 ,  G06K9/38 ,  G06K2209/01 ,  G06T3/40 ,  G06T7/12 ,  G06T2207/20132 ,  G06T2207/30176 ,  H04N1/3873

摘要： Methods and apparatus for processing a captured image of a medium, content on the medium, and a background surrounding the medium are provided. A captured image is processed by 1) improving the visibility of the content by recovering the original appearance of the medium and enhancing the appearance of the content image, 2) removing the background by determining the boundary of the medium, and/or 3) correcting geometric distortion in the content to improve readability. Any of the three processing steps may be used alone or any combination of the three processing steps may be used to process the image. The image processing may operate on the image after it is captured and stored to a memory and may be implemented on an image-capturing device that captures the image. In other embodiments, the image processing is implemented on another device that receives the image from the image-capturing device.

摘要翻译： 提供了处理介质的捕获图像，介质上的内容以及介质周围的背景的方法和装置。 处理拍摄图像1）通过恢复介质的原始外观和增强内容图像的外观来提高内容的可视性，2）通过确定介质的边界来消除背景，和/或3）校正 几何失真的内容提高了可读性。 可以单独使用三个处理步骤中的任何一个，或者可以使用三个处理步骤的任何组合来处理图像。 图像处理可以在被捕获并且被存储到存储器之后对图像进行操作，并且可以在捕获图像的图像捕获装置上实现。 在其他实施例中，图像处理在从图像捕获设备接收图像的另一设备上实现。

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。

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。

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。

公开(公告)号：US20060164523A1

公开(公告)日：2006-07-27

申请号：US11052710

申请日：2005-01-27

申请人： Xiaoyun Jiang ,  Chinchuan Chiu

发明人： Xiaoyun Jiang ,  Chinchuan Chiu

IPC分类号： H04N9/68

CPC分类号： H04N9/646 ,  G06T5/009 ,  G06T5/40 ,  G06T2207/10024 ,  H04N5/2355

摘要： Luma adaptation for digital image processing. Luminance signals are separated from sensor RGB signals representing an image. A transfer function is obtained from the luminance signals. Using the transfer function, the sensor RGB signals are adjusted to adapt the luma of the image.

摘要翻译： 亮度适应数字图像处理。 亮度信号与表示图像的传感器RGB信号分离。 从亮度信号获得传递函数。 使用传递函数，调整传感器RGB信号以适应图像的亮度。