基于边缘模糊频谱特征的散焦参数估计方法  

Defocus blur parameter estimation method based on blur spectrum characteristic of image edge

作　　者：梁敏[1,2] 朱虹[1] 

机构地区：[1]西安理工大学自动化与信息工程学院,西安710048 [2]山西财经大学信息管理学院,太原030031

出　　处：《计算机应用》2014年第4期1177-1181,共5页journal of Computer Applications

基　　金：国家国际科技合作专项资助项目(2011DFR10480);山西省自然科学基金资助项目(2013011016-4)

摘　　要：退化图像复原的关键在于点扩散函数(PSF)的准确估计,针对散焦模糊图像点扩散函数参数未知的情况,提出一种基于图像边缘模糊频谱特征的参数估计方法。首先分析基本边缘经模糊退化后的频谱特征,进而构建了自然图像的边缘模型作为参考图像,通过在连续的散焦值范围内计算与待测模糊图像频谱的最大相似性,以获取散焦参数估计值。实验结果表明,所提方法能够适用于大尺度模糊图像的参数估计问题,且具有较强的抗噪性能。The accurate estimation of the Point Spread Function （PSF） is the key point in image restoration.For the unknown PSF parameter of defocus blur,an estimation method was proposed based on blur spectrum characteristic of image edge.Specifically,the blur spectrum feature of basic edge was analyzed,and then the edge model of natural image was treated as reference image.Furthermore,the max spectrum correlation was analyzed to obtain the right parameter between the image to be restored and the blurred reference image with defocus parameter in a continuous range.The experimental results show that the proposed algorithm suits large scale defocus blur images and has strong anti-noise ability.

关 键 词：散焦模糊 图像边缘 参数估计 抗噪性 频谱相关 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]