Volume 6 Issue 6
Dec.  2013
Turn off MathJax
Article Contents
SUN Hong-hai, LIU Yan-ying. Application of improved blind deconvolution technology in long-ranged laser spot image restoration[J]. Chinese Optics, 2013, 6(6): 868-875. doi: 10.3788/CO.20130606.868
Citation: SUN Hong-hai, LIU Yan-ying. Application of improved blind deconvolution technology in long-ranged laser spot image restoration[J]. Chinese Optics, 2013, 6(6): 868-875. doi: 10.3788/CO.20130606.868

Application of improved blind deconvolution technology in long-ranged laser spot image restoration

  • Received Date: 10 Sep 2013
  • Rev Recd Date: 16 Nov 2013
  • Publish Date: 10 Dec 2013
  • To improve the precision of long-ranged laser spot position measurement in an outdoor experiment, blind deconvolution technology was proposed to restore the spot image afterwards to lower the impact of atmospheric turbulence on spot imaging. First, classical blind deconvolution algorithms were introduced, of which the shortage is analyzed. Second, an improved blind deconvolution algorithm was designed. The penalty terms were added to TV(Total Variation)objective function and the alternative iterative method was also redesigned. Then, the convergence of the improved method was testified mathematically. Finally, the improved method was compared with other classical methods by experimental simulation. The capability of improved method was testified with several objective figures, and the results show that the Signal to Noise Ratio(SNR) is improved by 15% at least. The restoration result of outdoor experiment proves that the improved method is effective.

     

  • loading
  • [1] 陈波. 适应光学图像复原理论与算法研究[D].北京:解放军信息工程大学,2008. CHEN B. The theory and algorithms of adaptive potics image restoration[D]. Beijing:PLA Information Engineering University,2008.(in Chinese) [2] LANE R G. Blind deconvolution of speckle images[J]. J. Opt. Soc. Am. A,1992,9(9):1580-1587. [3] AYERS G R,DAINTY J C. Iterative blind deconvolution method and its applications[J]. Opt. Letters,1988,13(7):547-550. [4] KUNDUR D,HATZINAKOS D. Blind image deconvolution[J]. IEEE Signal Processing Magazion,1996,4(3):43-65. [5] KUNDUR D,HATZINAKOS D. Blind image restoration via recursive filtering using deterministic constraints[J]. IEEE,1996:2283-2287. [6] RUDIN L,OSHER S,FATEMI E. Nonlinear total variation based noise removal algorithms[J]. Physica D,1992,60:259-268. [7] CHAN T,GOLUB G,MULET P. A nonlinear primal-dual method for TV-based image restoration[J]. Proc.12th Int. Conf. Analysis and Optimization of Systems: Images,Wavelets and PDE's,1996,219:241-252. [8] 宋向,耿则勋,王洛飞. 基于SIFT特征配准的多帧迭代盲解卷积算法[J]. 测绘科学,2011(6):109-111. SONG X,GENG Z X,WANG L F. Multi-frame iterative blind deconvolution based on the SIFT feature registration[J]. Sci. Sureying and Mapping,2011(6):109-111.(in Chinese) [9] 邸男,付东辉,王毅楠. 利用加权预测的图像迭代盲解卷积[J]. 中国光学,2011(5):514-518. DI N,FU D H,WANG Y N. Iterative blind deconvolution of image with weighted prediction[J]. Chinese Optics,2011(5):514-518.(in Chinese) [10] 王洛飞,耿则勋,魏小峰. 结合Fourier域约束的多帧盲解卷积图像恢复算法[J].测绘科学技术学报,2011(4):283-287. WANG L F,GENG Z X,WEI X F. Multi-frame blind deconvolution algorithm based on Fourier-constrained[J]. J. Geomatics Science and Technology,2011(4):283-287.(in Chinese) [11] 温博,张启衡,张建林. 应用自解卷积和增量Wiener滤波实现迭代盲图像复原[J]. 光学 精密工程,2011(12):3050-3056. WEN B,ZHANG Q H,ZHANG J L. Realization of iterative blind image restoration by self deconvolution and increment Wiener filter[J]. Opt. Precision Eng.,2011(12):3050-3056.(in Chinese) [12] 母一宁,刘泉,于林韬, 等. 哈特曼技术在序列光斑检测中的应用[J]. 光学 精密工程,2011(9):2197-2194. MU Y N,LIU Q,YU L T,et al.. Application of Hartmann technique in sequence spot detection[J]. Opt. Precision Eng.,2011(9):2197-2194.(in Chinese)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(2380) PDF downloads(656) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return