Super-Resolution in Plenoptic Cameras Using FPGAs

被引:23
作者
Perez, Joel [1 ]
Magdaleno, Eduardo [1 ]
Perez, Fernando [2 ]
Rodriguez, Manuel [1 ]
Hernandez, David [1 ]
Corrales, Jaime [1 ]
机构
[1] Univ La Laguna, Dept Fundamental & Expt Elect Phys & Syst, San Cristobal la Laguna 38203, Spain
[2] Univ La Laguna, Dept Stat Operat Res & Computat, San Cristobal la Laguna 38203, Spain
关键词
plenoptic cameras; lightfield; field programmable graphic array (FPGA); super-resolution;
D O I
10.3390/s140508669
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Plenoptic cameras are a new type of sensor that extend the possibilities of current commercial cameras allowing 3D refocusing or the capture of 3D depths. One of the limitations of plenoptic cameras is their limited spatial resolution. In this paper we describe a fast, specialized hardware implementation of a super-resolution algorithm for plenoptic cameras. The algorithm has been designed for field programmable graphic array (FPGA) devices using VHDL (very high speed integrated circuit (VHSIC) hardware description language). With this technology, we obtain an acceleration of several orders of magnitude using its extremely high-performance signal processing capability through parallelism and pipeline architecture. The system has been developed using generics of the VHDL language. This allows a very versatile and parameterizable system. The system user can easily modify parameters such as data width, number of microlenses of the plenoptic camera, their size and shape, and the super-resolution factor. The speed of the algorithm in FPGA has been successfully compared with the execution using a conventional computer for several image sizes and different 3D refocusing planes.
引用
收藏
页码:8669 / 8685
页数:17
相关论文
共 50 条
  • [31] Super-Resolution Using GMM and PLS Regression
    Ogawa, Yuki
    Hori, Takahiro
    Takiguchi, Tetsuya
    Ariki, Yasuo
    2012 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM), 2012, : 298 - 301
  • [32] A Video Super-Resolution Framework Using SCoBeP
    Barzigar, Nafise
    Roozgard, Aminmohammad
    Verma, Pramode
    Cheng, Samuel
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2016, 26 (02) : 264 - 277
  • [33] Super-resolution radar
    Heckel, Reinhard
    Morgenshtern, Veniamin I.
    Soltanolkotabi, Mahdi
    INFORMATION AND INFERENCE-A JOURNAL OF THE IMA, 2016, 5 (01) : 22 - 75
  • [34] Super-resolution inpainting
    SHIH Timothy K
    Journal of Zhejiang University Science A(Science in Engineering), 2005, (06) : 487 - 491
  • [35] Super-resolution inpainting
    Shih T.K.
    Chang R.-C.
    Journal of Zhejiang University-SCIENCE A, 2005, 6 (6): : 487 - 491
  • [36] SIMULATION OF PLENOPTIC CAMERAS
    Michels, Tim
    Petersen, Arne
    Palmieri, Luca
    Koch, Reinhard
    2018 - 3DTV-CONFERENCE: THE TRUE VISION - CAPTURE, TRANSMISSION AND DISPLAY OF 3D VIDEO (3DTV-CON), 2018,
  • [37] Deep Light Field Spatial Super-Resolution Using Heterogeneous Imaging
    Chen, Yeyao
    Jiang, Gangyi
    Yu, Mei
    Xu, Haiyong
    Ho, Yo-Sung
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2023, 29 (10) : 4183 - 4197
  • [38] Light Field Image Super-Resolution using Selective Kernel Convolution
    Zhang, Yuduo
    Van Duong, Vinh
    Yim, Jonghoon
    Jeon, Byeungwoo
    INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY, IWAIT 2023, 2023, 12592
  • [39] Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations
    Umer, Rao Muhammad
    Foresti, Gian Luca
    Micheloni, Christian
    ICDSC 2019: 13TH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS, 2019,
  • [40] Tomographic background oriented schlieren using plenoptic cameras
    Davis, Jenna K.
    Clifford, Christopher J.
    Kelly, Dustin L.
    Thurow, Brian S.
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 33 (02)