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    • 1. 发明申请
    • AUTOMATIC ADAPTIVE IMAGE SHARPENING
    • 自动自适应图像缩放
    • US20130016222A1
    • 2013-01-17
    • US13180338
    • 2011-07-11
    • Xiaoyun JiangEri Haneda
    • Xiaoyun JiangEri Haneda
    • H04N17/06
    • H04N17/002
    • 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.
    • 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。
    • 2. 发明授权
    • Video sensor-based automatic region-of-interest detection
    • 基于视频传感器的自动感兴趣区域检测
    • US08208758B2
    • 2012-06-26
    • US11363820
    • 2006-02-28
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • G06K9/20
    • G06K9/00234H04N1/628H04N9/643
    • 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.
    • 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。
    • 4. 发明授权
    • Video frame motion-based automatic region-of-interest detection
    • 基于视频帧运动的自动感兴趣区域检测
    • US08019170B2
    • 2011-09-13
    • US11364285
    • 2006-02-28
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • G06K9/36G06K9/00H04N11/02
    • G06K9/00234H04N19/17H04N19/61
    • 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.
    • 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。
    • 5. 发明申请
    • IMAGE CAPTURE DEVICE WITH INTEGRATED BARCODE SCANNING
    • 具有集成条形码扫描的图像捕获设备
    • US20090212113A1
    • 2009-08-27
    • US12035644
    • 2008-02-22
    • Chinchuan Andrew ChiuJingqiang LiHau HwangHsiang-Tsun LiStephen HortonXiaoyun JiangJoseph Cheung
    • Chinchuan Andrew ChiuJingqiang LiHau HwangHsiang-Tsun LiStephen HortonXiaoyun JiangJoseph Cheung
    • G06K7/10
    • G06K7/14G06K7/1417G06K7/1443G06K7/1447G07G1/0045
    • 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.
    • 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。
    • 6. 发明申请
    • WHITEBOARD, BLACKBOARD, AND DOCUMENT IMAGE PROCESSING
    • 白板,黑板和文件图像处理
    • US20070269124A1
    • 2007-11-22
    • US11533664
    • 2006-09-20
    • Hsiang-Tsun LiSzepo Robert HuangXiaoyun Jiang
    • Hsiang-Tsun LiSzepo Robert HuangXiaoyun Jiang
    • G06K9/40G06K9/34
    • H04N5/235G06K9/38G06K2209/01G06T3/40G06T7/12G06T2207/20132G06T2207/30176H04N1/3873
    • 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.
    • 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。
    • 9. 发明申请
    • Video frame motion-based automatic region-of-interest detection
    • 基于视频帧运动的自动感兴趣区域检测
    • US20070076957A1
    • 2007-04-05
    • US11364285
    • 2006-02-28
    • Haohong WangShuxue QuanKhaled El-MalehChlachuan ChiuXiaoyun Jiang
    • Haohong WangShuxue QuanKhaled El-MalehChlachuan ChiuXiaoyun Jiang
    • G06K9/46G06K9/00G06K9/34
    • G06K9/00234H04N19/17H04N19/61
    • 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.
    • 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。