强激光与粒子束2012，Vol.24Issue(9)：2215-2219,5.DOI:10.3788/HPLPB20122409.2215
基于BP神经网络的闪光照相图像复原
Restoration method for flash radiographic images based on BP neural network
摘要
Abstract
A BP neural network based image restoration algorithm is proposed against the blur of flash radiographic images with low signal-to-noise ratios. Firstly the degraded image and the sample image are both divided into the edge part and the smooth part. Secondly the nonlinear mapping relationship between the degraded image and its original image is established by training the BP neural network which has the ability of learning, remembrance and generalizing with the edge part of the sample image. Finally the edge part of the degraded image could be restored by the trained neural network. Numerical results show that this method could restore the image information near edges when the systematic point-spread function is unknown, and the restored image is greatly improved in the signal-to-noise ratio and in the visual.关键词
图像复原/闪光照相/神经网络Key words
image restoration/ flash radiography/ neural network分类
信息技术与安全科学引用本文复制引用
景越峰,刘军,管永红..基于BP神经网络的闪光照相图像复原[J].强激光与粒子束,2012,24(9):2215-2219,5.基金项目
中国工程物理研究院科学技术发展基金项目(2010B0202021) （2010B0202021）
国家自然科学基金项目(61007065) （61007065）
