IDENTIFICATION OF MOTION BLURRED PARAMETER BY USING T-NORM OPERATOR

摘要：

Motion blur is one of common blurs that degrades images.Restoration of image is highly dependent on estimation of motion blur parameters.In this paper it has presented a novel algorithm (FSA) to estimate linear motion blur parameters such as direction and extend by using radon transform to find direction and t-norm operator to find its extend.The method was tested on a wide range of different type of standard images that were degraded.Compared to AR model algorithm, the algorithms robustness and precision in noisy images is improved greatly.Though SNR is rather low, it still gets highly satisfactory result.

关键词： Blur extend Fuzzy set algorithm Robustness Radon transform

作者: TING-TING ZHANG GANG XU

作者单位: College of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1606-1610

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）