• DocumentCode
    2667231
  • Title

    A method of LCD motion de-blur based-on the volterra system identification

  • Author

    Zhu, Xiong-yong ; Chen, Rong-jun ; Tan, Hong-Zhou

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guangzhou, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    944
  • Lastpage
    949
  • Abstract
    The LCD devices exists motion blur problem, which is hard to resolve and occurs when render the motion images. This paper presents a novel method try to improve the LCD motion blur phenomenon from the view of system identification. The method adopts the Volterra nonlinear system based on the N-VSSLMS (Normalized Variable Step Size LMS) algorithm to approximate the sinc-1 system, in which we can construct a feasible inverse system of the LCD motion blurring system. Simulation results demonstrate the method can improve the LCD motion blur phenomenon obviously, the performance of the proposed method is better than the sinc-1 system, and it can be implemented in hardware easily.
  • Keywords
    Volterra equations; image motion analysis; image restoration; liquid crystal displays; rendering (computer graphics); LCD devices; LCD motion blurring system; LCD motion deblur method; N-VSSLMS; Volterra system identification; image motion rendering; motion blur problem; normalized variable step size LMS; Convergence; Image restoration; Least squares approximation; Mathematical model; Nonlinear systems; Simulation; System identification; LCD motion de-blur; Volterra system; sinc model; sinc−1 system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244148
  • Filename
    6244148