Literature DB >> 25649009

Single-pixel imaging by means of Fourier spectrum acquisition.

Zibang Zhang1, Xiao Ma1, Jingang Zhong2.   

Abstract

Single-pixel imaging techniques enable to capture a scene without a direct line of sight to the object, but high-quality imaging has been proven challenging especially in the presence of noisy environmental illumination. Here we present a single-pixel imaging technique that can achieve high-quality images by acquiring their Fourier spectrum. We use phase-shifting sinusoid structured illumination for the spectrum acquisition. Applying inverse Fourier transform to the obtained spectrum yields the desired image. The proposed technique is capable of capturing a scene without a direct view of it. Thus, it enables a feasible placement of detectors, only if the detectors can collect the light signals from the scene. The technique is also a compressive sampling like approach, so it can reconstruct an image from sub-Nyquist measurements. We experimentally obtain clear images by utilizing a detector not placed in direct view of the imaged scene even with noise introduced by environmental illuminations.

Year:  2015        PMID: 25649009     DOI: 10.1038/ncomms7225

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  34 in total

1.  Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow.

Authors:  Shaowei Jiang; Kaikai Guo; Jun Liao; Guoan Zheng
Journal:  Biomed Opt Express       Date:  2018-06-25       Impact factor: 3.732

2.  Hadamard single-pixel imaging versus Fourier single-pixel imaging.

Authors:  Zibang Zhang; Xueying Wang; Guoan Zheng; Jingang Zhong
Journal:  Opt Express       Date:  2017-08-07       Impact factor: 3.894

3.  Optically computed phase microscopy for quantitative dynamic imaging of label-free cells and nanoparticles.

Authors:  Xuan Liu; Zhaoxiong Wan; Yuanwei Zhang; Yuwei Liu
Journal:  Biomed Opt Express       Date:  2021-12-24       Impact factor: 3.732

4.  Video-rate high-resolution single-pixel nonscanning photoacoustic microscopy.

Authors:  Ningbo Chen; Jia Yu; Liangjian Liu; Zhiqiang Xu; Rongkang Gao; Tao Chen; Liang Song; Wei Zheng; Chengbo Liu
Journal:  Biomed Opt Express       Date:  2022-06-09       Impact factor: 3.562

5.  Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern.

Authors:  Jaesung Heo; Junghyun Kim; Taek Jeong; Sangkyung Lee; Yong Sup Ihn; Zaeill Kim; Yonggi Jo
Journal:  Sci Rep       Date:  2022-07-11       Impact factor: 4.996

6.  Computational imaging with a balanced detector.

Authors:  F Soldevila; P Clemente; E Tajahuerce; N Uribe-Patarroyo; P Andrés; J Lancis
Journal:  Sci Rep       Date:  2016-06-29       Impact factor: 4.379

7.  Multi-scale Adaptive Computational Ghost Imaging.

Authors:  Shuai Sun; Wei-Tao Liu; Hui-Zu Lin; Er-Feng Zhang; Ji-Ying Liu; Quan Li; Ping-Xing Chen
Journal:  Sci Rep       Date:  2016-11-14       Impact factor: 4.379

8.  Multispectral imaging using a single bucket detector.

Authors:  Liheng Bian; Jinli Suo; Guohai Situ; Ziwei Li; Jingtao Fan; Feng Chen; Qionghai Dai
Journal:  Sci Rep       Date:  2016-04-22       Impact factor: 4.379

9.  Efficient single-pixel multispectral imaging via non-mechanical spatio-spectral modulation.

Authors:  Ziwei Li; Jinli Suo; Xuemei Hu; Chao Deng; Jingtao Fan; Qionghai Dai
Journal:  Sci Rep       Date:  2017-01-27       Impact factor: 4.379

10.  Miniature Compressive Ultra-spectral Imaging System Utilizing a Single Liquid Crystal Phase Retarder.

Authors:  Isaac August; Yaniv Oiknine; Marwan AbuLeil; Ibrahim Abdulhalim; Adrian Stern
Journal:  Sci Rep       Date:  2016-03-23       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.