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1. 发明申请

WO2012066564A1 METHOD AND APPARATUS FOR DETECTION AND REMOVAL OF RAIN FROM VIDEOS USING TEMPORAL AND SPATIOTEMPORAL PROPERTIES. 审中-公开
标题翻译：利用时间和时空特性检测和去除视频中的雨的方法和设备。
公开(公告)号：WO2012066564A1
公开(公告)日：2012-05-24
申请号：PCT/IN2011/000778
申请日：2011-11-11
申请人： INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR , TRIPATHI, Abhishek Kumar , MUKHOPADHYAY, Sudipta
发明人： TRIPATHI, Abhishek Kumar , MUKHOPADHYAY, Sudipta
IPC分类号： G06T5/00
CPC分类号： H04N5/21 , G06K9/00791 , G06T5/005 , G06T7/0002 , G06T2207/10016 , G06T2207/20182 , G06T2207/30168 , H04N11/20
摘要： The invention relates to a new method and system for detection and removal of rain from video using temporal/spatiotemporal properties. Advantageously, the temporal/spatiotemporal properties are involved to separate the rain pixels from the non-rain pixels. It is thus possible by way of the present invention to involve less number of consecutive frames, reducing the buffer size and delay. It works only on the intensity plane which reduces the complexity and execution time significantly along with accurate rain detection. This new technique does not assume the shape, size and velocity of the raindrops which makes it robust to different rain conditions. This method reduces the buffer size which reduces the system cost, delay and power consumption while maintaining sufficient quality of rain detection.
摘要翻译：本发明涉及利用时间/时空特性来检测和去除来自视频的降雨的新方法和系统。有利的是，时间/时空属性涉及将雨象素与非雨象素分开。因此通过本发明可以涉及较少数量的连续帧，减少了缓冲器的大小和延迟。它只能在强度平面上工作，这可以显着降低复杂性和执行时间，同时还可以精确检测雨水。这种新技术不会假定雨滴的形状，大小和速度，这使得它能够适应不同的降雨条件。这种方法减少了缓冲区的大小，降低了系统成本，延迟和功耗，同时保持了足够的降雨检测质量。

2. 发明申请

WO2012063265A2 METHOD AND APPARATUS FOR DETECTING THE BAD PIXELS IN SENSOR ARRAY AND CONCEALING THE ERROR 审中-公开
标题翻译：用于检测传感器阵列中的不良像素并隐藏错误的方法和设备
公开(公告)号：WO2012063265A2
公开(公告)日：2012-05-18
申请号：PCT/IN2011/000775
申请日：2011-11-11
申请人： INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR , MUKHOPADHYAY, Sudipta , TRIPATHI, Abhishek Kumar
发明人： MUKHOPADHYAY, Sudipta , TRIPATHI, Abhishek Kumar
CPC分类号： H04N5/365 , H04N5/3651 , H04N5/367 , H04N5/3675
摘要： A method of detection of bad pixel in sensor array and correction of detected bad pixels by inpainting and also to image sensor devices involving such sensor arrays adapted for identification and correction of the bad pixels. Importantly, image sensors which are provided to convert optical images to electrical signals would benefit from such possible detection and correction of pixel errors thereby providing for better quality of output. The method and the device enables providing for better quality cameras in particular digital cameras involving CCD image sensors or CMOS sensors. It monitors the health of the sensor arrays and increase its life, without involving any additional hardware cost. The invention targets all possible varieties of defective pixels including dead pixels, stuck pixels, hot and cold pixels and therefore is adapted to serve as a complete solution to such art of handling image corruption even for high numbers of bad pixels.
摘要翻译：一种检测传感器阵列中的坏像素并通过修复对校正检测到的坏像素进行校正的方法，还涉及涉及适用于识别和校正坏像素的这种传感器阵列的图像传感器装置。重要的是，提供用于将光学图像转换成电信号的图像传感器将受益于像素误差的这种可能的检测和校正，由此提供更好的输出质量。该方法和设备使得能够在涉及CCD图像传感器或CMOS传感器的特定数字相机中提供更好质量的相机。它可以监控传感器阵列的健康状况并延长其使用寿命，而不会涉及任何额外的硬件成本。本发明针对所有可能的缺陷像素，包括缺陷像素，卡住像素，热像素和冷像素，因此适用于作为处理图像损坏的技术的完整解决方案，即使对于大量的坏像素也是如此。

3. 发明申请

WO2013018101A1 METHOD AND SYSTEM FOR REMOVAL OF FOG, MIST OR HAZE FROM IMAGES AND VIDEOS 审中-公开
标题翻译：从图像和视频中去除雾，雾或烟雾的方法和系统
公开(公告)号：WO2013018101A1
公开(公告)日：2013-02-07
申请号：PCT/IN2012/000077
申请日：2012-02-02
申请人： INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR , MUKHOPADHYAY, Sudipta , TRIPATHI, Abhishek Kumar
发明人： MUKHOPADHYAY, Sudipta , TRIPATHI, Abhishek Kumar
IPC分类号： G06T5/00 , H04N5/21 , G06T5/40
CPC分类号： H04N1/6027 , G06K9/00 , G06T5/002 , G06T5/009 , G06T5/40 , G06T2207/10004 , G06T2207/10016 , G06T2207/20012 , G06T2207/20028 , G06T2207/20192
摘要： A method of removing fog from the images/videos independent of the density or amount of the fog and free of user intervention and a system for carrying out such method of fog removal from images/videos are disclosed. The removal of fog from images and video involve airlight estimation and airlight map refinement based restoration of foggy images and videos. Advantageously, removal of fog from images and videos of this invention would require less execution time and yet achieve high perceptual image quality with reduced noise and enhanced contrast. The proposed method is adapted for RGB Colour model and advantageously also for HSI colour model involving reduced computational requirements and be user friendly and supposed to have wide application and use.
摘要翻译：公开了一种从图像/视频中去除雾的方法，而不管雾度的密度或数量，并且没有用户干预，以及从图像/视频中执行雾化除去方法的系统。从图像和视频中消除雾气涉及到空气中的估计和基于飞行员地图细化的恢复雾图像和视频。有利地，从本发明的图像和视频中去除雾将需要更少的执行时间，并且通过降低的噪声和增强的对比度实现高感知图像质量。所提出的方法适用于RGB颜色模型，并且有利地也用于HSI颜色模型，其涉及减少的计算需求并且被用户友好并且应该具有广泛的应用和使用。

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