Snapshot compressive spectral depth imaging from coded aberrations

被引:10
|
作者
Marquez, Miguel [1 ]
Meza, Pablo [2 ]
Rojas, Fernando [3 ]
Arguello, Henry [3 ]
Vera, Esteban [4 ]
机构
[1] Univ Ind Santander, Dept Phys, Bucaramanga, Colombia
[2] Univ La Frontera, Dept Elect Engn, Temuco, Chile
[3] Univ Ind Santander, Dept Syst Engn, Bucaramanga, Colombia
[4] Pontificia Univ Catolica Valparaiso, Sch Elect Engn, Valparaiso, Chile
关键词
D O I
10.1364/OE.415664
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Compressive spectral depth imaging (CSDI) is an emerging technology aiming to reconstruct spectral and depth information of a scene from a limited set of two-dimensional projections. CSDI architectures have conventionally relied on stereo setups that require the acquisition of multiple shots attained via dynamically programmable spatial light modulators (SLM). This work proposes a snapshot CSDI architecture that exploits both phase and amplitude modulation and uses a single image sensor. Specifically, we modulate the spectral-depth information in two steps. Firstly, a deformable mirror (DM) is used as a phase modulator to induce a focal length sweeping while simultaneously introducing a controlled aberration. The phase-modulated wavefront is then spatially modulated and spectrally dispersed by a digital micromirror device (DMD) and a prism, respectively. Therefore, each depth plane is modulated by a variable phase and binary code. Complimentary, we also propose a computational methodology to recover the underlying spectral depth hypercube efficiently. Through simulations and our experimental proof-of-concept implementation, we demonstrate that the proposed computational imaging system is a viable approach to capture spectral-depth hypercubes from a single image. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
引用
收藏
页码:8142 / 8159
页数:18
相关论文
共 50 条
  • [41] OPTIMIZATION OF A MOVING COLORED CODED APERTURE IN COMPRESSIVE SPECTRAL IMAGING
    Galvis, Laura
    Mojica, Edson
    Arguello, Henry
    Arce, Gonzalo R.
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 7685 - 7689
  • [42] Deep plug-and-play priors for spectral snapshot compressive imaging
    SIMING ZHENG
    YANG LIU
    ZIYI MENG
    MU QIAO
    ZHISHEN TONG
    XIAOYU YANG
    SHENSHENG HAN
    XIN YUAN
    Photonics Research, 2021, 9 (02) : 18 - 29
  • [43] Snapshot spectral compressive imaging reconstruction using convolution and contextual Transformer
    LISHUN WANG
    ZONGLIANG WU
    YONG ZHONG
    XIN YUAN
    Photonics Research, 2022, 10 (08) : 1848 - 1858
  • [44] Optimization of Compressive 4D-spatio-spectral Snapshot Imaging
    Zhao, Xia
    Feng, Weiyi
    Lin, Lihua
    Su, Wu
    Xu, Guoqing
    AOPC 2017: 3D MEASUREMENT TECHNOLOGY FOR INTELLIGENT MANUFACTURING, 2017, 10458
  • [45] Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging
    Meng, Ziyi
    Yu, Zhenming
    Xu, Kun
    Yuan, Xin
    2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), 2021, : 2602 - 2611
  • [46] Snapshot compressive hyperspectral imaging via dual spectral filter array
    Zhang, Yang
    Liu, Xinyu
    Wang, Chang
    Xu, Zhou
    Zhang, Qiangbo
    Zheng, Zhenrong
    OPTOELECTRONIC IMAGING AND MULTIMEDIA TECHNOLOGY IX, 2022, 12317
  • [47] Deep plug-and-play priors for spectral snapshot compressive imaging
    Zheng, Siming
    Liu, Yang
    Meng, Ziyi
    Qiao, Mu
    Tong, Zhishen
    Yang, Xiaoyu
    Han, Shensheng
    Yuan, Xin
    PHOTONICS RESEARCH, 2021, 9 (02) : B18 - B29
  • [48] PERCEPTION INSPIRED DEEP NEURAL NETWORKS FOR SPECTRAL SNAPSHOT COMPRESSIVE IMAGING
    Meng, Ziyi
    Yuan, Xin
    2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2021, : 2813 - 2817
  • [49] Snapshot spectral compressive imaging reconstruction using convolution and contextual Transformer
    Wang, Lishun
    Wu, Zongliang
    Zhong, Yong
    Yuan, Xin
    PHOTONICS RESEARCH, 2022, 10 (08) : 1848 - 1858
  • [50] Snapshot fiber spectral imaging using speckle correlations and compressive sensing
    French, Rebecca
    Gigan, Sylvain
    Muskens, Otto L.
    OPTICS EXPRESS, 2018, 26 (24): : 32302 - 32316