基于Radon变换和Gabor变换鉴别运动模糊方向角  

Identification of Motion Direction from Motion Blurred Images Based on Radon Transform and Gabor Transform

作　　者：加春燕[1] 王昕[2] 

机构地区：[1]北京工业职业技术学院,北京100042 [2]华北科技学院,北京东燕郊101601

出　　处：《华北科技学院学报》2012年第3期19-22,27,共5页Journal of North China Institute of Science and Technology

摘　　要：对于匀速直线运动的模糊图像,准确鉴别运动方向角是图像复原的关键。分析了运动模糊图像的频谱特征,介绍了Radon变换的数学原理及用其估计运动模糊方向角的思路、步骤和数值实验结果。由于实际拍摄的模糊图像在很多时候频谱特征不够明显,导致用Radon变换鉴别角度出现大的误差,为此,提出了基于Gabor变换的一种改进算法。算法运用"窗口"聚焦频谱图像中心,较好地消除了噪声干扰并克服了Radon变换的弊端,数值实验结果验证了该算法的有效性。In order to recover the uniform linear motion blurred image, it＇ s necessary to identify the motion direction,Based on the spectrum characteristics of motion blurred image, the mathematic principle of Radon transform and procedures of using it to i- dentify the motion direction were introduced. Aiming at the spectrum characteristics of the real blurred images taken by digital camera is not obvious, an improved algorithm based on Gabor transform is proposed. The algorithm uses a ＂window＂ focusing on the spectrum center of the image to eliminate noise interference and overcome the drawbacks of Radon transform. Numerical exper- imental results show effectiveness of the presented method.

关 键 词：运动模糊方向角鉴别 运动模糊频谱特征 RADON变换 GABOR变换 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]