115. FAST LCD MOTION DEBLURRING BY DECIMATION AND OPTIMIZATION

Department: Electrical & Computer Engineering
Research Institute Affiliation: California Institute for Telecommunications and Information Technology (Calit2)
Faculty Advisor(s): Truong Q. Nguyen

Primary Student
Name: Ho Chan
Email: h5chan@ucsd.edu
Phone: 858-534-5669
Grad Year: 2012

Abstract
LIQUID Crystal Display (LCD) devices are well known to have a slow respond time due to the physical behavior of the liquid crystals. When a digital video signal is transmitted to a LCD device for display, the liquid crystal will hold the signal value until the next value arrives. Because of the sample and hold effect, moving objects in a video sequence are often seen blurred. Such blurring problem does not show up in traditional Cathode Ray Tube (CRT) monitors because CRT uses scanning probe for display. Since LCD is becoming the dominant display device due to its low cost, low power consumption and high resolution, it is necessary to improve performance of the LCD devices.

In the past few years, there were attempts to deblur the LCD images. For example, frame rate up conversion and motion compensated inverse filtering . However, they are either slow, or cannot give satisfactory results. Here, we consider the LCD deblurring problem as a simple bounded quadratic programming problem and is solved using conjugate gradient optimization algorithm. We suggested a few practical fast implementation techniques for such large scaled problem. We also proposed a novel interlace interpolation method to first reduce the size of image by half, and then reconstruct the solution. This could allow us to reduce the computation time. The algorithm is tested with human audience, where 17 persons are invited. Statistical result shows that our proposed algorithm performs better and faster than existing algorithms.

This work is accepted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2009.

Related Links:

1. http://videoprocessing.ucsd.edu/~stanleychan/

Related Files:

1. StanleyICASSP.pdf

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