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    • 5. 发明申请
    • IMAGE QUALITY ENHANCEMENT WITH HISTOGRAM DIFFUSION
    • 图像质量增强与组织扩散
    • US20090110274A1
    • 2009-04-30
    • US11925189
    • 2007-10-26
    • Kalin AtanassovXiaoyun JiangXin ZhongYing Xie Noyes
    • Kalin AtanassovXiaoyun JiangXin ZhongYing Xie Noyes
    • G06K9/00
    • G06T5/40G06T5/009G06T2207/10016
    • Techniques for improving the quality of images are described. A first histogram of intensity values may be obtained for an input image and diffused to obtain a second histogram with better intensity coverage. The diffusion may be achieved by filtering the first histogram for multiple iterations with a diffusion function obtained based on a filter function and a diffusion control function. The filter function may control the rate and/or characteristics of the diffusion. The diffusion control function may control shifts in positions of lobes in the first histogram. A transformation function may be determined based on a first cumulative distribution function (CDF) for the first histogram and an inverse function for a second CDF for the second histogram. An output image may be generated by mapping each pixel value in the input image to a corresponding pixel value in the output image based on the transformation function.
    • 描述了提高图像质量的技术。 可以为输入图像获得强度值的第一直方图,并且扩散以获得具有更好的强度覆盖率的第二直方图。 可以通过使用基于滤波器函数和扩散控制功能获得的扩散函数对具有多次迭代的第一直方图进行滤波来实现扩散。 滤波器功能可以控制扩散的速率和/或特性。 扩散控制功能可以控制第一直方图中波瓣位置的偏移。 可以基于第一直方图的第一累积分布函数(CDF)和第二直方图的第二CDF的反函数来确定变换函数。 可以通过基于变换函数将输入图像中的每个像素值映射到输出图像中的对应像素值来生成输出图像。
    • 8. 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。
    • 9. 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。