数据采集与处理2024，Vol.39Issue(2)：324-336,13.DOI:10.16337/j.1004-9037.2024.02.006
基于频谱特征自适应采样的傅里叶单像素成像方法
Fourier Single-Pixel Imaging Method Based on Adaptive Sampling of Spectral Features
摘要
Abstract
The improvement of imaging efficiency in Fourier single-pixel imaging(FSI)is mainly achieved with the help of optimized reconstruction algorithms and optimized sampling methods.However,with a limited number of samplings,FSI cannot accurately sample critical frequencies,resulting in poor imaging quality.To solve this problem,a strategy for adaptive sampling of spectral features is proposed.First,the degree of concentration of energy in the Fourier domain is investigated as a way to determine the optimal radius of low-frequency equidistant pre-sampling,and further,the corresponding Fourier coefficients are measured by means of pre-sampling the low-frequency components to estimate the key spectral positions,which ultimately realizes the image reconstruction.Compared with the adaptive sampling method based on energy continuity in the high-frequency direction,this method can adaptively select better sampling paths for different spectral feature targets,obtain the key Fourier coefficients,and then improve the imaging quality,with a peak signal-to-noise ratio increase of 2.28 dB and a structural similarity increase of 15.83%.Therefore,this method has the advantage of efficient spatial information acquisition in response to FSI of unknown feature targets,and is expected to be applied in single-pixel fast real-time imaging.关键词
傅里叶单像素成像/采样方法/关键频率/自适应采样/成像质量Key words
Fourier single-pixel imaging/sampling methods/critical frequencies/adaptive sampling/imaging quality分类
信息技术与安全科学引用本文复制引用
肖振坤,张永峰,魏文卿,邓琥..基于频谱特征自适应采样的傅里叶单像素成像方法[J].数据采集与处理,2024,39(2):324-336,13.基金项目
国家自然科学基金(11872058). （11872058）
