计算机技术与发展2016，Vol.26Issue(8)：60-64,5.DOI:10.3969/j.issn.1673-629X.2016.08.013
运动模糊车辆图像复原方法研究
Research on Method of Image Restoration of Motion Blur Vehicle
摘要
Abstract
In the process of taking vehicle images,there are many factors which can influence the quality of the vehicle images,such as motion blur caused by relative motion between video cameras and vehicles. It leads to the results that the license plate to identify by rec-ognition system is wrong,and even that the system couldn’ t recognize the license plate. According to the characteristics of the motion blur image,the degradation model of motion blurred image is analyzed,and an image restoration algorithm is proposed based on point spread function estimation and TV regularization method. Improved Radon transform is used to estimate the motion blur direction,and bi-spectrum model is applied to evaluate the motion blur length. After estimating the point spread function,the TV regularization method is used to recover the blurred image,and the gradient tracking algorithm is utilized to solve the problem. It evaluates and analyzes the quality of restored images from the perspective of subjective and objective in this paper. The experiment shows that the improved comprehensive algorithm can estimate the blurred parameter of motion-blurred images accurately and obtain satisfied effect.关键词
运动模糊/点扩展函数/Radon变换/双谱模型/图像复原/TV正则化Key words
motion blur/point spread function/Radon transform/bi-spectrum model/image restoration/TV regularization分类
信息技术与安全科学引用本文复制引用
史海玲,邱晓晖..运动模糊车辆图像复原方法研究[J].计算机技术与发展,2016,26(8):60-64,5.基金项目
江苏省自然科学基金(BK2011789) （BK2011789）
东南大学毫米波国家重点实验室开放课题(K201318) （K201318）
