An FPGA-oriented HW/SW Codesign of Lucy-Richardson Deconvolution Algorithm for Hyperspectral Images

被引:0
作者
Avagian, Karine [1 ]
Orlandic, Milica [1 ]
Johansen, Tor Arne [2 ,3 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Elect Syst, Trondheim, Norway
[2] Norwegian Univ Sci & Technol, Ctr Autonomous Marine Operat & Syst NTNU AMOS, Trondheim, Norway
[3] Norwegian Univ Sci & Technol, Dept Engn Cybernet, Trondheim, Norway
来源
2019 8TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO) | 2019年
关键词
hyperspectral images; deconvolution; Lucy-Richardson Algorithm; FPGA;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Hyperspectral images acquired during remote sensing are usually corrupted by optical blur and additive noise. This article considers a method to reduce the spatial blur in hyper-spectral images by applying the Lucy-Richardson deconvolution algorithm. The algorithm is based on convolution with a point-spread function, which is assumed to be known. The complete algorithm is implemented as a HW/Sw Co-Design between the central processing unit and the programmable logic. The convolution, as a time consuming operation, is accelerated in an FPGA. When compared to the software implementation, a speed-up by a factor of 2.7 is achieved when using the accelerated HW/SW Co-Design implementation. Hyperspectral images synthetically distorted by a known Gaussian blur and an additive noise are used for testing. The images are then restored by applying the Lucy-Richardson deconvolution algorithm on each spectral band.
引用
收藏
页码:155 / 160
页数:6
相关论文
共 15 条
  • [1] [Anonymous], 2014, ZedBoard Hardware User Guide
  • [2] [Anonymous], [No title captured]
  • [3] Bates R.H. T., 1986, IMAGE RESTORATION RE
  • [4] Bretschneider T, 2002, INT GEOSCI REMOTE SE, P2450, DOI 10.1109/IGARSS.2002.1026574
  • [5] Carrato S, 2015, INT SYMP IMAGE SIG, P137, DOI 10.1109/ISPA.2015.7306047
  • [6] Fan Haiyan, 2018, IEEE T GEOSCI REMOTE
  • [7] ITERATIVE TECHNIQUE FOR RECTIFICATION OF OBSERVED DISTRIBUTIONS
    LUCY, LB
    [J]. ASTRONOMICAL JOURNAL, 1974, 79 (06) : 745 - 754
  • [8] Mosquera OA, 2016, 2016 29 S INT CIRC S, P1, DOI 10.1109/SBCCI.2016.7724056
  • [9] Orlandic Milica, 2018, J REAL TIME IMAGE PR
  • [10] Structural similarity index family for image quality assessment in radiological images
    Renieblas G.P.
    Nogués A.T.
    González A.M.
    Gómez-Leon N.
    Del Castillo E.G.
    [J]. Renieblas, Gabriel Prieto (gprietor@med.ucm.es), 1600, SPIE (04):