摘要
摄像机在拍摄过程中发生抖动导致图像模糊,因此,对运动模糊的图像进行了还原处理。首先对图片进行去噪处理,去除了图像中的椒盐噪声和高斯噪声;接着通过Sobel边缘检测算子和Hough变换求解得到模糊图像的运动角度和长度分别为140.75°和75,得到点扩散函数PSF,最后选用L-R算法对图像进行还原,并对不同迭代次数下的复原图像进行误差分析,发现当迭代次数为80时复原效果最佳。
The camera wobble during shooting causes the image to be fuzzy.Therefore,the motion blurred image is restored.Firstly,the image is de-noised to remove salt and pepper noise and Gaussian noise.Then obtained by Sobel edge detection operator and Hough transform to solve fuzzy image motion Angle and length of 140.75°and 75 respectively,the PSF is obtained.Finally,L-R algorithm is used to restore the image and different iterations are performed.The error analysis of the restored image shows that when the number of iterations is 80,the restoration effect is the best.
作者
于可欣
张天周
王新蕊
吴宇航
YU Ke-xin;ZHANG Tian-zhou;WANG Xin-rui;WU Yu-hang(Mathematical Modeling Innovation Lab,North China University of Science and Technology,Tangshan Hebei,063210,China;College of Science,North China University of Science and Technology,Tangshan Hebei,063210,China;School of mechanical engineering,North China University of Science and Technology,Tangshan Hebei,063210,China;Department of metallurgy and energy,North China University of Science and Technology,Tangshan Hebei,063210,China;Hebei Key Laboratory of Data Science and Applications,Tangshan Hebei,063210,China;Tangshan Key Laboratory of Data Science,Tangshan Hebei,063210,China)
出处
《新一代信息技术》
2018年第1期1-7,共7页
New Generation of Information Technology
基金
国家自然基金资助项目(No.11601151)。
