匀速直线运动模糊图像点扩展函数的识别方法  

Point Spread Function Identification for Uniform Linear Motion Blurred Image

作　　者：宋海英[1] 胡蓉[1] 

机构地区：[1]成都电子机械高等专科学校通信工程系,成都610031

出　　处：《成都电子机械高等专科学校学报》2012年第1期21-24,共4页Journal of Chengdu Electromechanical College

摘　　要：为解决图像复原中模糊函数即点扩展函数的估计问题,介绍了图像退化的一般模型,分析了匀速直线运动模糊的退化函数,并采用基于约束最小二乘复原算法的参数误差曲线法对运动参数进行估计。实验结果表明:该方法可以提高参数的判别精度,复原图像的视觉效果和峰值信噪比都有显著提高。Image restoration is one of the hot image processing. The key spread function in order to restore the degraded image. In this paper, step is to estimate the point the general model of image degradation is introduced, the uniform linear motion blur of the degradation function is analyzed, and a method based on constrained least squares algorithm is addressed for estimating the degraded parameter. Experimental results show that this method can improve the precision of the parameter identification and that visual effect and peak signal to noise ratio of the restored images have been improved significantly.

关 键 词：图像复原 点扩展函数 运动模糊 参数误差曲线 约束最小二乘 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]