强激光与粒子束2025,Vol.37Issue(2):60-69,10.DOI:10.11884/HPLPB202537.240247
基于迭代-帧间双预测的CUP-VISAR重构方法
CUP-VISAR image reconstruction based on iterative-interframe double prediction
摘要
Abstract
CUP-VISAR system is a new technology that combines Compressed Ultrafast Photography(CUP)with two-dimensional Velocity Interferometer System for Any Reflector(VISAR).To solve the problem that the image reconstruction quality of CUP-VISAR system decreases obviously under the condition of large noise,a compressed ultrafast photography reconstruction method based on iteration-interframe dual prediction is proposed.Using this method,the correlation of inter-frame image data and the correlation of iterations before and after the same frame image are studied.The compressed image reconstruction problem is presented as an iteration-inter frame dual prediction optimization problem based on Kalman prediction and inter-frame prediction,and the Plug-and-Play Generalized Alternating Projection(PnP-GAP)framework is used to solve the optimization problem effectively.Simulation results show that the minimum Peak Signal-to-Noise Ratio(PSNR)and minimum Structure Similarity Index Measure(SSIM)of the proposed method are increased by 3.18-2.11 dB and 20.30%-8.22%under large Gaussian noise conditions.The practical results show that the proposed method can obtain higher definition of fringe image,and the reconstructed line-VISAR(1D-VISAR)fringe movement trend is clearer,which verifies the effectiveness of the algorithm.关键词
CUP-VISAR/帧间预测/卡尔曼预测/即插即用广义交替投影/图像重构Key words
CUP-VISAR/interframe prediction/Kalman prediction/plug-and-play generalised alternating projection/image reconstruction分类
计算机与自动化引用本文复制引用
温懿岚,郑铠涛,李海艳,甘华权,黄运保,王峰,理玉龙,关赞洋,余远平,黄庆鑫..基于迭代-帧间双预测的CUP-VISAR重构方法[J].强激光与粒子束,2025,37(2):60-69,10.基金项目
国家自然科学基金项目(12127810、51975125) (12127810、51975125)