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    • 5. 发明授权
    • Reducing smear and slow response artifacts in vector error diffusion
    • US09848105B1
    • 2017-12-19
    • US09080700
    • 1998-05-18
    • Zhigang Fan
    • Zhigang Fan
    • H04N1/405H04N1/60G06K15/02
    • H04N1/4052G06K15/1881H04N1/52H04N1/6027
    • A method of color image processing for quantizing output includes obtaining an input for an object pixel which is represented by a vector in a first color space. A modified input equal to the input plus a sum of errors from other pixels in a neighborhood of the object pixel is generated. For each color component in the first color space, where corresponding color components of the modified input are located with respect to a preset range is determined. If the modified input's color component is greater than the preset range, then that color component for an output is determined to be on; if less than the preset range, then that color component for the output is determine to be off; and, if within the preset range, then that color component for the output is determined to be unknown. A transformed modified input is mapped to a perceptual color space when any color component of the output is unknown. Colors consistent with color components of the output that have already been determined are also mapped to the perceptual color space. The color in the perceptual color space that lies closest to the transformed modified input is chosen. An output in the first color space having color components on and off is generated consistent with the determinations and/or choices made. Error for the object pixel is then calculated as the difference between the output and the modified input.
    • 6. 发明申请
    • IMAGE CAPTURE BY SCENE CLASSIFICATION
    • 通过场景分类的图像捕获
    • US20160286114A1
    • 2016-09-29
    • US15081281
    • 2016-03-25
    • Zhigang Fan
    • Zhigang Fan
    • H04N5/235H04N5/232G02B7/28G06T5/00G06T5/20G06K9/46G06K9/62G06T7/00
    • H04N5/2352G02B7/285G06K9/4661G06K9/6267H04N5/23212
    • A method, a device and a computer readable for automatically identifying a Christmas tree scene and setting a camera's focus and/or exposure parameters in a way that yields images with high image quality. The Christmas tree scene identification can be performed by segmenting the image into bright and dark regions, identifying the light objects, collecting the statistics of the light objects, and classifying the scene based on the statistics of the light objects, or by collecting the pixel value statistics for the image, and classifying the scene based on the statistics of the pixel values, or by collecting the pixel value statistics for the image, filtering the image, collecting the pixel value statistics for the filtered image, and classifying the scene by comparing the statistics of the pixel values before and after filtering. The focus and exposure settings can be adjusted based on the Christmas tree scene identification results. For Christmas tree scenes, the exposure can be set based on a value that is adjusted upwards from the mean luminance of the image, or on a value that is calculated from the top luminance value. The focus can be set by identifying the lights in the image, and minimizing the light size in the image.
    • 用于自动识别圣诞树场景并以产生具有高图像质量的图像的方式设置相机的焦点和/或曝光参数的方法,设备和计算机。 可以通过将图像分割成明暗区域,识别光对象,收集光对象的统计数据和基于光对象的统计信息对场景进行分类,或者通过收集像素值来执行圣诞树场景识别 统计图像,并根据像素值的统计信息对场景进行分类,或者通过收集图像的像素值统计信息,过滤图像,收集滤波图像的像素值统计数据,并对场景进行分类比较 过滤前后像素值的统计。 焦点和曝光设置可以根据圣诞树场景识别结果进行调整。 对于圣诞树场景,可以基于从图像的平均亮度向上调整的值或从顶部亮度值计算的值来设置曝光。 可以通过识别图像中的光,并最小化图像中的光线大小来设置焦点。
    • 8. 发明授权
    • Smartphone augmented video-based on-street parking management system
    • 智能手机增强了基于视频的路边停车管理系统
    • US09367966B2
    • 2016-06-14
    • US13461161
    • 2012-05-01
    • Zhigang FanYao Rong Wang
    • Zhigang FanYao Rong Wang
    • G07B15/02G06K9/00H04N7/18
    • G07B15/02G06K9/00785H04N7/181
    • A method and a system for automating parking payment includes receiving video data in a sequence of frames provided by a video capture device observing a parking area. The method includes detecting a vehicle in the parking area using the video data. The method further includes receiving information of a vehicle in the parking area provided by a user device. The method includes comparing the characteristics of the detected vehicle with the information from the user device. In response to the characteristics of the detected vehicle being a match to the information sent from the user device, the method includes tracking the detected vehicle across the sequence of frames. The method includes computing a duration that the detected vehicle remains stationary using the tracking. The method includes computing an amount for charging the associated user device based on the duration.
    • 一种用于自动化停车支付的方法和系统包括以观看停车区域的视频捕获设备提供的帧序列接收视频数据。 该方法包括使用视频数据来检测停车区域中的车辆。 该方法还包括在由用户设备提供的停车区域中接收车辆的信息。 该方法包括将检测到的车辆的特征与来自用户设备的信息进行比较。 响应于检测到的车辆的特征与从用户设备发送的信息的匹配,该方法包括在帧序列之间跟踪检测到的车辆。 该方法包括使用跟踪来计算检测到的车辆保持静止的持续时间。 该方法包括基于持续时间计算用于对相关联的用户设备计费的量。