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

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3 Author(s)
Xiong-yong Zhu ; School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, 51027, China ; Rong-jun Chen ; Hong-zhou Tan

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.

Published in:

2012 24th Chinese Control and Decision Conference (CCDC)

Date of Conference:

23-25 May 2012