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运动模糊角度检测的两种改进方法
引用本文:周军,韩森.运动模糊角度检测的两种改进方法[J].光学仪器,2019,41(2):17-22.
作者姓名:周军  韩森
作者单位:上海理工大学 光电信息与计算机工程学院,上海 200093;上海理工大学 光电信息与计算机工程学院,上海 200093;苏州慧利仪器有限责任公司,江苏 苏州 215123
摘    要:运动模糊图像复原的关键点在于模糊角度和模糊长度的获取,针对运动模糊图像频谱图中十字亮线影响模糊角度检测精度的问题,提出了两种改进方法。在Radon变换的基础上,通过对模糊图像频谱图进行非中心化和二次傅里叶变换细化条纹信息,来减小十字亮线对模糊角度检测精度的影响。对比实验表明,改进的两种方法能提高1°~3°的模糊角度检测精度。

关 键 词:运动模糊  Radon变换  模糊角度  十字亮线
收稿时间:2018/5/2 0:00:00

Comparison of two improved methods for detecting motion blur angle
ZHOU Jun and HAN Sen.Comparison of two improved methods for detecting motion blur angle[J].Optical Instruments,2019,41(2):17-22.
Authors:ZHOU Jun and HAN Sen
Affiliation:School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China and School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;Suzhou H&L Instruments LLC., Suzhou 215123, China
Abstract:The key points of the motion blur image restoration are the acquisition of the blur angle and length. This paper proposes two methods for improving detection accuracy of the cross bright line impact angle in the spectrum image of the motion blur image. On the basis of Radon transform, the effect of cross bright line pair detection accuracy is reduced by decentralizing the spectrum of the blurred image, and performing secondary Fourier transform to refine the fringe information. After comparative experiments, it was found that the two methods could improve the detection accuracy by about 1° to 3°.
Keywords:motion blur  Radon transform  fuzzy angle  cross bright line
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