快门编码模型重影模糊图像盲复原方法  

Blind Deconvolution Algorithm for Overlap-Blurred Images Based on Coded-Shutter Model

作　　者：吴琼 孙韶杰[2] 李国辉[2] 

机构地区：[1]空军军训器材研究所,北京海淀区100195 [2]国防科学技术大学信息系统与管理学院,长沙410073

出　　处：《电子科技大学学报》2011年第2期283-287,共5页Journal of University of Electronic Science and Technology of China

摘　　要：针对刑侦取证工作中经常出现的一种重影模糊图像,提出了一种快门编码模型来近似模拟重影模糊的本质,利用快门编码模型对重影模糊图像进行盲复原处理。实验结果表明了该快门编码模型对复原重影模糊图像的合理性,对实际拍摄的重影模糊图像,该算法能够有效地复原出模糊图像中的感兴趣信息,具有较高的实用性。A coded-shutter model is proposed to approximate the nature of overlap-blur, which often arises in the criminal detection forensics work. A blind image deconvolution algorithm is designed based on the coded-shutter model. The experiment results show that when tested on the real overlap-blurred photographs, the proposed algorithm can restore the information of interest in the blurred images effectively.

关 键 词：图像盲复原 快门编码模型 刑侦取证 重影模糊 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]