文章基本信息

标题：Adaptive Motion Detection for Image Deblurring in RTS Controller
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作者：SANDEEP MISHRA ; ABANIKANTA PATTANAYAK ; RADHANATH PATRA 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：6
页码：2115
出版社：S&S Publications
摘要：An Adaptive method for Image Deblurring is presented here. Processing of image data collected from bothsurveillance camera and on road traffic control motor vehicle camera is a big issue because often the objects are inmotion and sometimes both the objects and camera are not steady. This leads to Blurring of the image and furtherimage processing is not possible due to the degradation of received image. So Image Deblurring techniques are appliedbefore enhancement or further processing. But it needs proper data for Deblurring like the frequency characteristics(Point Spread Function (PSF)) and Noise characteristics (Noise-to-Signal Power Ratio(NSR)). The method presentedhere gives the above information along with the motion information. The information about motion detection is veryimportant because in the Deblurring process the noise estimation cannot be done without knowing actual pixels of thesensor noise present in the image. So to get a deblurred image with proper noise reduction that can be further processedin the RTS (Road Traffic & Safety) controller required information are provided sequentially according to the motiondetection and Deblurring algorithm. This method uses some good Deblurring methods like Blind Deconvolution andRegularization filtering along with proper motion detections and characteristics estimations to get an image close to thetrue image which is sufficient for further processing.
关键词：Image Deblurring; Harr Wavelet transformation; Blind Deconvolution; Gyroscopic Sensor; Regularized;Filtering; Traffic Surveillance