基于频谱分析的运动模糊图像的参数鉴别  

Identification of Parameters from Motion Blurred Images Based on Cepstrum Research

作　　者：苏军[1] 

机构地区：[1]南京航空航天大学计算机科学与技术学院,江苏南京210016

出　　处：《电子科技》2011年第7期77-79,共3页Electronic Science and Technology

摘　　要：提出了利用图像频谱获取模糊参数、复原参数的方法。该方法通过对运动模糊图像做频谱预处理,对频谱实施Radon变换,确定运动模糊的方向θ,进而计算出运动模糊的尺度L。通过对不同模糊程度的计算机仿真图像和相机实拍图像参数鉴别结果表明,该方法简单、准确,且具有较强的鲁棒性,并验证了文中所提参数估计方法的有效性,最终的图像去模糊效果良好。In order to identify the parameters of restoration accurately,an identification method based on cepstrum domain is presented in this paper.Preprocessing method and radon transformation of the cepstrum are employed to identify the blur direction,and then acquire the blur length.Experimental results covering dozens of artificially blurred images and real images show that the proposed method is simple accurate and robust.Final restoration effect is good,and the restored images also validate the usability.

关 键 词：运动模糊 频谱 RADON变换 

分 类 号：TN919.8[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]