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动态模糊图像复原研究 被引量:1

Study of Dynamic MODULUS and Image Restoration
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摘要 计算机视觉技术已应用在各类场景中,通过建立正确的模型复原动态模糊图像已成为当前的研究热点。首先在忽略外部噪声和内部噪声的前提下恢复沿直线保持恒定速度运动的模糊图像,然后在该条件下探讨恢复过程中点扩散函数(Point Spread Function,PSF)的模糊参数,以此创建一个相应的复原模型点分散图像。通过Matlab仿真实验,对比证明了4种不同复原模型的作用,并分别进行了评价。 Computer vision technology has been applied in various scenarios,and the restoration of dynamic blurred images by establishing correct models has become a current research hotspot.Firstly,on the premise of ignoring external noise and internal noise,the blurred image that keeps a constant speed along a straight line is restored,and then the blur parameters of the point spread function(PSF)in the restoration process are discussed under this condition to create a corresponding restoration model point Scatter the image.Through Matlab simulation experiments,the effects of four different restoration models were compared and evaluated,respectively.
作者 李胜荣 LI Shengrong(College of Computer Science and Engineering,Anhui University of Science and Technology,Huainan Anhui 232001,China)
出处 《信息与电脑》 2021年第9期46-49,共4页 Information & Computer
关键词 动态模糊图像 模糊参数 复原模型 MATLAB dynamic blurred image fuzzy parameters restoration model Matlab
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