First-photon imaging via a hybrid penalty
First-photon imaging via a hybrid penalty作者机构：School of Instrumentation and Optoelectronic EngineeringBeihang UniversityBeijing 100191China
出 版 物：《Photonics Research》 (光子学研究（英文版）)
年 卷 期：2020年第8卷第3期
页 面：325-330页
核心收录：
学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080203[工学-机械设计及理论] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 0702[理学-物理学]
基 金：National Natural Science Foundation of China(61922011,61675016) Natural Science Foundation of Beijing Municipality(4172039)
摘 要：First-photon imaging is a photon-efficient,computational imaging technique that reconstructs an image by recording only the first-photon arrival event at each spatial location and then optimizing the recorded photon *** optimization algorithm plays a vital role in image formation.A natural scene containing spatial correlation can be reconstructed by maximum likelihood of all spatial locations constrained with a sparsity regularization penalty,and different penalties lead to different *** l1-norm penalty of wavelet transform reconstructs major features but blurs edges and high-frequency details of the *** total variational penalty preserves edges better;however,it induces astaircase effect,which degrades image *** this work,we proposed a hybrid penalty to reconstruct better edge features while suppressing the staircase effect by combining wavelet l1-norm and total variation into one penalty *** of numerical simulations indicate that the proposed hybrid penalty reconstructed better images,which have an averaged root mean square error of 12.83%,5.68%,and 10.56%smaller than those of the images reconstructed by using only wavelet l1-norm penalty,total variation penalty,or recursive dyadic partitions method,*** results are in good agreement with the numerical ones,demonstrating the feasibility of the proposed hybrid *** been verified in a first-photon imaging system,the proposed hybrid penalty can be applied to other noise-removal optimization problems.
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