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1.发明授权公开(公告)号：US09197789B2
公开(公告)日：2015-11-24
申请号：US14233968
申请日：2012-02-02
Applicant: Sudipta Mukhopadhyay , Abhishek Kumar Tripathi
Inventor： Sudipta Mukhopadhyay , Abhishek Kumar Tripathi
CPC classification number: H04N1/6027 , G06K9/00 , G06T5/002 , G06T5/009 , G06T5/40 , G06T2207/10004 , G06T2207/10016 , G06T2207/20012 , G06T2207/20028 , G06T2207/20192
Abstract: 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 Color model and advantageously also for HSI color model involving reduced computational requirements and be user friendly and supposed to have wide application and use.
Abstract translation: 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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2.发明授权Method and apparatus for detection and removal of rain from videos using temporal and spatiotemporal properties 有权使用时间和时空属性从视频中检测和清除雨水的方法和装置公开(公告)号：US09077869B2
公开(公告)日：2015-07-07
申请号：US13885564
申请日：2011-11-11
Applicant: Abhishek Kumar Tripathi , Sudipta Mukhopadhyay
Inventor： Abhishek Kumar Tripathi , Sudipta Mukhopadhyay
CPC classification number: H04N5/21 , G06K9/00791 , G06T5/005 , G06T7/0002 , G06T2207/10016 , G06T2207/20182 , G06T2207/30168 , H04N11/20
Abstract: 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.
Abstract translation: 本发明涉及一种使用时间/时空属性从视频中检测和去除雨水的新方法和系统。 有利地，涉及时间/时空属性以将雨像素与非雨像素分离。 因此，通过本发明可以涉及较少数量的连续帧，减少了缓冲器大小和延迟。 它仅在强度平面上工作，从而显着降低了复杂性和执行时间，同时精确的雨检测。 这种新技术并没有假设雨滴的形状，尺寸和速度，这使得它在不同的雨水条件下变得坚固。 该方法减少了缓冲器大小，这降低了系统成本，延迟和功耗，同时保持了足够的雨量检测。
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3.发明申请公开(公告)号：US20140140619A1
公开(公告)日：2014-05-22
申请号：US14233968
申请日：2012-02-02
Applicant: Sudipta Mukhopadhyay , Abhishek Kumar Tripathi
Inventor： Sudipta Mukhopadhyay , Abhishek Kumar Tripathi
CPC classification number: H04N1/6027 , G06K9/00 , G06T5/002 , G06T5/009 , G06T5/40 , G06T2207/10004 , G06T2207/10016 , G06T2207/20012 , G06T2207/20028 , G06T2207/20192
Abstract: 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.
Abstract translation: 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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4.发明申请Method and Apparatus for Detection and Removal of Rain from Videos using Temporal and Spatiotemporal Properties 有权用于使用时间和时空属性从视频中检测和去除雨的方法和装置公开(公告)号：US20130242188A1
公开(公告)日：2013-09-19
申请号：US13885564
申请日：2011-11-11
Applicant: Abhishek Kumar Tripathi , Sudipta Mukhopadhyay
Inventor： Abhishek Kumar Tripathi , Sudipta Mukhopadhyay
CPC classification number: H04N5/21 , G06K9/00791 , G06T5/005 , G06T7/0002 , G06T2207/10016 , G06T2207/20182 , G06T2207/30168 , H04N11/20
Abstract: 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.
Abstract translation: 本发明涉及一种使用时间/时空属性从视频中检测和去除雨水的新方法和系统。 有利地，涉及时间/时空属性以将雨像素与非雨像素分离。 因此，通过本发明可以涉及较少数量的连续帧，减少了缓冲器大小和延迟。 它仅在强度平面上工作，从而显着降低了复杂性和执行时间，同时精确的雨检测。 这种新技术并没有假设雨滴的形状，尺寸和速度，这使得它在不同的雨水条件下变得坚固。 该方法减少了缓冲器大小，这降低了系统成本，延迟和功耗，同时保持了足够的雨量检测。
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