运动模糊数字图像边缘锐化增强仿真研究  

Simulation Research on Edge Sharpening Enhancement of Motion Blurred Digital Image

作　　者：魏华良 王金祥[1] WEI Hua-liang;WANG Jin-xiang(School of Engineering,Yanbian University,Yanji Jilin 133002,China)

机构地区：[1]延边大学工学院,吉林延吉133002

出　　处：《计算机仿真》2020年第7期459-462,497,共5页Computer Simulation

摘　　要：针对传统图像增强方法对细节信息保留不完整、容易造成图像失真问题,提出一种基于运动模糊数字图像边缘锐化增强方法。首先采用反锐化掩模法锐化图像整体,同时为了降低高频噪声分量,使用一阶导数中Sobel算子检测边缘图像阈值,随后根据斜坡边缘的微分性质单独锐化处理图像边缘;其次通过微分结构,采用总变分方法对图像分解,并将其代入到边界变分函数空间中求解,最后研究问题看做为尺度空间中前向扩散的一个范过程,同时设定监测扩散阈值减少振铃效应,完成边缘锐化增强。仿真结果表明,所提方法可以有效的解决传统方法的局限性,还能让扩散程度自适应调整,防止振铃效应,从而达到较好的锐化增强效果,且细节特征保留完整。Traditionally,the image enhancement methods are incomplete in detail information,resulting in the image distortion.Therefore,an edge sharpening enhancement method based on motion blurring was put forward.Firstly,the whole image was sharpened by the un-sharp masking method.In order to reduce the high frequency noise component,the Sobel operator in the first-order derivative was used to detect the threshold value of edge image,and then the image edge was sharpened separately according to the differential property of slope edge.Secondly,the total variation method was used to decompose the image based on the differential structure,and then it was substituted into the boundary variation function space for solution.Finally,the research was regarded as a normal process of forward diffusion in scale space.Meanwhile,the monitoring diffusion threshold was set to reduce the ringing effect and enhance the edge sharpening.Simulation results show that the proposed method can effectively overcome the limitations of traditional method,and make the diffusion degree adjust adaptively to prevent the ringing effect.Thus,better sharpening and enhancement effect can be achieved.

关 键 词：模糊图像 边缘锐化 锐化增强 边缘检测 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]