强激光与粒子束2016，Vol.28Issue(9)：094002-1-094002-6,6.DOI:10.11884/HPLPB201628.150498
基于约束优化的闪光照相图像重建算法
Constrained optimization reconstruction for flash radiographic image
摘要
Abstract
Blurring and noise are serious problems in hydro-test with high-energy X-ray radiography and make it difficult to reconstruct density distributions from radiographic images.A constrained optimization reconstruction method to decrease the blurring and noise impact is proposed.In this method,the parallel-beam X-ray projections are modeled by inserting a blurring ma-trix in.The optimization reconstruction problem is minimized by steepest descent method,and a preconditioned matrix has been adopted to improve the reconstruction efficiency.We focus on the tomographic reconstruction of piecewise smooth objects invol-ving sharp edges,so the algorithm is based on generalized-variation-minimization constraints,piecewise constraints and the non-negative density values constraints.We applied the reconstruction algorithm to reconstruct computer-synthesized images of the French Test Object (FTO)and a hydro-test object image.The results show that our method is beneficial to improve the quality of reconstructed image with better performance of noise smoothing and better edge preserving as well.关键词
图像重建/闪光照相/广义变分/约束优化Key words
image reconstruction/flash X-ray radiography/generalized variation/constrained optimization分类
信息技术与安全科学引用本文复制引用
景越峰,管永红,张小琳..基于约束优化的闪光照相图像重建算法[J].强激光与粒子束,2016,28(9):094002-1-094002-6,6.基金项目
中国工程物理研究院科学技术发展基金项目(2012A0202006,2013B0202021) （2012A0202006,2013B0202021）
国家自然科学基金项目(11304295) （11304295）
