Blurring Length Estimation Using Ringing Artifacts in a Deblurred Image

摘要：

The restoration quality of a motion-blurred image is highly dependent on the estimation accuracy of the motion blurring parameter. This manuscript presents a novel and precise method for estimation of the motion blurring length, wherein the ringing artifact amount of a deblurred image is measured by energy proportion contained in appropriate frequency bands, and a blurring length with minimum ringing artifact amount is taken as the optimal estimation of the true blurring length. Experimental results show good performance of the proposed algorithm in motion blurring length estimation.

关键词： blurred image restoration blurring kernel motion blur ringing artifacts

作者: Shuangxue Yang Hong Liu Benyong Liu Xiang Liao

作者单位: School of Computer Science and Information,Institute of Intelligent Information Processing, Guizhou Key Lab of Sound-Image Material Examination and Authentication The Ministry of Public Security of PR

会议类型: 国际会议

会议名称: 2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

会议地点: 武汉

会议语种:英文

页码: 84-88

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）