基于采样重排序的亚采样快速单像素成像  

Subsampling Fast Single-Pixel Imaging Based on Sample Reordering

作　　者：张志尧 高超 王晓茜[1] 姚治海[1] Zhang Zhiyao;Gao Chao;Wang Xiaoqian;Yao Zhihai(School of Physics,Changchun University of Science and Technology,Changchun 130022,Jilin,China)

机构地区：[1]长春理工大学物理学院,吉林长春130022

出　　处：《光学学报》2024年第20期75-82,共8页Acta Optica Sinica

基　　金：吉林省科技厅自然科学基金(YDZJ202101ZYTS030)。

摘　　要：提出一种基于采样重排序的亚采样快速单像素成像方法,旨在降低成像所需采样数并提高成像速度。该方法以小波基对目标物体进行亚采样,根据亚采样结果对后续采样重构顺序进行排序,并与常规方案下的采样重构图像进行对比。结果表明:相较于常规方案,所提方法在相同采样重构次数下具有更佳的峰值信噪比,有效减少采样数量。通过仿真验证证明该方法的可行性,为实现快速单像素成像提供了新的思路。Objective Singlepixel imaging is an indirect imaging technique that uses only one detector element instead of an array of imaging sensors to acquire images.Compared to traditional methods,it offers better detection efficiency in scenarios with limited resources or specific environmental conditions.However,the sampling speed and image quality of current singlepixel imaging methods are insufficient for practical applications.To address this,improvements in sampling methods are needed to reduce time costs while obtaining highquality images—specifically,optimizing the calibration and sampling strategy to enhance the speed of singlepixel imaging.Many research institutes and universities,both domestically and internationally,have investigated singlepixel imaging sampling and achieved significant results.After continuous innovation and optimization of the sampling method,the sampling rate has decreased under the same signaltonoise ratio,and the sampling time has been markedly reduced.However,previous research has neglected the processing of nonessential coefficients.When focusing on sampling important regional information,concentrating solely on important coefficients can lead to sampling lag for local information within those regions.Prioritizing the sampling of important coefficients first,followed by nonessential coefficients,can help restore the important regions more completely.Based on this,we propose a new method to tackle these shortcomings and reduce the number of samples required for imaging while ensuring image quality.Methods The twodimensional reflectance spatial distribution function of the target object is first converted into wavelet coefficients using the Haar wavelet transform,which reveals its energy distribution at different frequencies and scales.Initially,based on the information available about the measured target,each scale is assigned an orthorhombic diagonal diameter and subsequent sampling is performed within this orthorhombic area.In the presubsampling step,the number of subsamples is set f

关 键 词：成像系统 单像素成像 亚采样 小波变换 

分 类 号：O439[机械工程—光学工程]