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CAO Jinfeng, HE Fengtao. Laser speckle evaluation methods based on power spectrum of images[J]. LASER TECHNOLOGY, 2015, 39(3): 419-422. DOI: 10.7510/jgjs.issn.1001-3806.2015.03.030
Citation: CAO Jinfeng, HE Fengtao. Laser speckle evaluation methods based on power spectrum of images[J]. LASER TECHNOLOGY, 2015, 39(3): 419-422. DOI: 10.7510/jgjs.issn.1001-3806.2015.03.030
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Laser speckle evaluation methods based on power spectrum of images

  • College of Electronic Engineering, Xi'an University of Post and Telecommunications, Xi'an 710061, China

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  • Received Date: June 18, 2014
  • Revised Date: July 08, 2014
  • Published Date: May 24, 2015
    Graphical Abstract
    • Abstract
  • Laser speckle has important applications in many areas, such as optical coherence tomography, holography, multimode optical fiber communication and metrology. In order to evaluate the laser speckle, the power spectrum width of speckle image in frequency domain was proposed as the evaluation method of laser speckle. The experiment device of power spectrum speckle evaluation was designed based on optical fiber vibration. A 0.5W, 532nm laser was used as light source and a voltage-driven voice coil motor was used to vibrate the fiber and control laser speckle. A CCD image acquisition card was used to collect images. Speckle contrast method and power spectrum method were respectively used to evaluate the speckle images under different driving voltages. The results show that the method of power spectrum has higher sensitivity and wider range of evaluation.
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    • References (15)
  • [1]
    TIAN Z H, LIU W Q, LI X, et al. Speckle contrast reduction in laser display[J].Optics and Precision Engineering, 2007,15(9):1366-1370 (in Chinese).
    [2]
    MAYCOCK J, HENNELLY B M, McDONALD J B, et al. Reduction of speckle in digital holography by discrete Fourier filtering [J]. Journal of the Optical Society of America, 2007,A24(6):1617-1622.
    [3]
    ZHOU W, BOVIK A C. A universal image quality index[J]. IEEE Signal Processing Letters, 2002, 9(3):81-84.
    [4]
    YU G, WANG Sh G, YU J H. Technology of digital speckle pattern interferometry and its applications[J]. Laser Technology, 2002, 26(3):237-240 (in Chinese).
    [5]
    ZHANG Y P, WANG K F. Application of LabVIEW and MATLAB in ESPI image processing[J]. Laser Technology, 2009, 33(6):582-585 (in Chinese).
    [6]
    JIA Q Y, HE F T. Research for the problem of speckle homogenization in laser projectiondisplay[J]. Laser Technology, 2013, 37(3): 400-405(in Chinese).
    [7]
    WU Y L,WU Z S. Analysis of power spectra for laser scattering intensity on rotating cylinder targets[J].Optics and Precision Engineering,2012,20(12):2654-2660(in Chinese).
    [8]
    MARTIN R, MEMBER S. Noise power spectral density estimation based on optimal smoothing and minimum statistics [J].IEEE Xplore,2001,9(5): 504-512.
    [9]
    WU Y L, SHAO L, ZHANG K, et al. Image metric analysis of laser jamming effect based on wavelet energy and spot size[J]. Acta Photonica Sinica, 2013, 42(7): 832-838(in Chinese).
    [10]
    ZHANG R Z, CAI B W, YANG Ch L, et al. Nnmerical method of the power spectral density[J].High Power Laser and Particle Beams, 2000,12(6): 661-664(in Chinese).
    [11]
    LU Q H, ZHANG X M, FAN Y B. Analysis of power spectral of the microstructure images acquired by computer micro-vision[J].Machinery Design Manufacture,2010,6(6): 229-231(in Chinese).
    [12]
    HE F T, LIU J. Analysis on the speckle contrast of the microscopic image of laser[J].Journal of Northwest University(Natural Science Edition), 2012,42(3):377-380(in Chinese).
    [13]
    YANG Y, DING Q X, ZHANG Ch F. New advance in airborne laser imaging technique[J]. Infrared and Laser Engineering, 2011,40(4):620-625(in Chinese).
    [14]
    WANG L J, QIU Y Sh, CHEN H X, et al. Analysis of speckle reduction by the vibrating fiber[J]. Acta Photonica Sinica, 2011, 40(8): 1211-1214(in Chinese).
    [15]
    LI X, LIU W Q, TIAN Zh H, et al. Speckle contrast reduction in laser display [J]. Chinese Journal of Liquid Crystals and Displays, 2008, 23(2): 153-154(in Chinese).
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