Computational Spectral Imaging Based on Compressive Sensing

被引：8

作者：

Wang, Chao ^{[1
,2
,3
]}

Liu, Xue-Feng ^{[3
]}

Yu, Wen-Kai ^{[1
]}

Yao, Xu-Ri ^{[3
]}

Zheng, Fu ^{[3
]}

Dong, Qian ^{[3
]}

Lan, Ruo-Ming ^{[4
]}

Sun, Zhi-Bin ^{[3
]}

Zhai, Guang-Jie ^{[3
]}

Zhao, Qing ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Phys, Ctr Quantum Technol Res, Beijing 100081, Peoples R China

[2] China Acad Engn Phys, Mianyang 621900, Peoples R China

[3] Chinese Acad Sci, Key Lab Elect & Informat Technol Space Syst, Natl Space Sci Ctr, Beijing 100190, Peoples R China

[4] Shandong Normal Univ, Sch Phys & Elect, Jinan 250014, Shandong, Peoples R China

来源：

CHINESE PHYSICS LETTERS | 2017年 / 34卷 / 10期

基金：

中国国家自然科学基金;

关键词：

PROJECTIONS;

D O I：

10.1088/0256-307X/34/10/104203

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Spectral imaging is an important tool for a wide variety of applications. We present a technique for spectral imaging using computational imaging pattern based on compressive sensing (CS). The spectral and spatial information is simultaneously obtained using a fiber spectrometer and the spatial light modulation without mechanical scanning. The method allows high-speed, stable, and sub sampling acquisition of spectral data from specimens. The relationship between sampling rate and image quality is discussed and two CS algorithms are compared.

引用

页数：5

共 50 条

[41] Tensor-Based Terahertz Compressive Sensing Imaging
Wang, Wei-Chieh
Wang, Jou-Chen
Hung, Yi-Chun
Yang, Shang-Hua
Huang, Yuan-Hao
2021 46TH INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER AND TERAHERTZ WAVES (IRMMW-THZ), 2021,
[42] Wavelet-Based Compressive Sensing for Head Imaging
Guo, Lei
Abbosh, A. M.
2015 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP), 2015,
[43] Streak tube imaging system based on compressive sensing
Cao, Jingya
Han, Shaokun
Liu, Fei
Zhai, Yu
OPTOELECTRONIC IMAGING AND MULTIMEDIA TECHNOLOGY V, 2018, 10817
[44] An Authenticated Encrypted Compressive Sensing based Imaging Mechanism
Wu, Tao
Ruland, Christoph
2018 9TH IFIP INTERNATIONAL CONFERENCE ON NEW TECHNOLOGIES, MOBILITY AND SECURITY (NTMS), 2018,
[45] Adaptive block imaging based on compressive sensing in AFM
Zhang, Yuchuan
Chen, Yongjian
Wu, Teng
Han, Guoqiang
MICROSCOPY RESEARCH AND TECHNIQUE, 2024, 87 (11) : 2555 - 2579
[46] A Novel Strategy for Radar Imaging Based on Compressive Sensing
Tello Alonso, Marivi
Lopez-Dekker, Paco
Mallorqui, Jordi J.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (12): : 4285 - 4295
[47] Compressive sensing-based correlation plenoptic imaging
Petrelli, Isabella
Santoro, Francesca
Massaro, Gianlorenzo
Scattarella, Francesco
Pepe, Francesco V.
Mazzia, Francesca
Ieronymaki, Maria
Filios, George
Mylonas, Dimitris
Pappas, Nikos
Abbattista, Cristoforo
D'Angelo, Milena
FRONTIERS IN PHYSICS, 2023, 11
[48] Bistatic SAR Imaging Based on Compressive Sensing Approach
Wang, Yong
Zhang, Hongyuan
Zhou, Jing
COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, CSPS 2018, VOL II: SIGNAL PROCESSING, 2020, 516 : 789 - 795
[49] Impulse Borehole Radar Imaging Based on Compressive Sensing
Yang, Haining
Li, Tingjun
He, Zhiming
Liu, Qing Huo
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12 (04) : 766 - 770
[50] ANALYSIS OF COMPRESSIVE SENSING BASED THROUGH THE WALL IMAGING
Duman, Muhammed
Gurbuz, Ali Cafer
2012 IEEE RADAR CONFERENCE (RADAR), 2012,

← 1 2 3 4 5 →