LCD Motion Blur Modeling and Deblurring Stanley H. Chan, and Truong Nguyen

Abstract

Liquid Crystal Display (LCD) devices are well known to have slow respond time due to the physical property 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 hold characteristic and the slow response, 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 and the response time is very short. In this project, we study the LCD motion blur model. We derive fundamental equations for LCD physics, taking into account of signal sampling, LCD response, and human visual system.

Publications

• Stanley H. Chan and Truong Q. Nguyen, "LCD Motion Blur: Modeling, Analysis and Algorithm," submitted to IEEE Transactions on Image Processing.
  • Demo 1a Stockholm: Original avi (48MB)
  • Demo 1b Stockholm: Conventional - Lucy Richardson avi (42MB)
  • Demo 1c Stockholm: Proposed Spatial-Temporal avi (34MB)
  • Remark: H.264 codec is required.
  • Demo 2a Shield: Original avi (34MB)
  • Demo 2b Shield: Conventional - Lucy Richardson avi (39MB)
  • Demo 2c Shield: Proposed Spatial-Temporal avi (27MB)
  • Remark: H.264 codec is required.
  • MATLAB tool box for LCD deblurring: GPL1 version 0.0.2 (temporal regularization are not available yet)
• Stanley H. Chan and Truong Q. Nguyen, "LCD Motion Blue Modeling and Simulation," submitted to IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2010.

Results

1. LCD Fundamental Equations

Result 1 says that given the input signal, and the LCD response, the output (perceived) signal is a linear convolution between the two.

Results 2 says that although Result 1 is a convolution in time, it is possible to translate the problem into convolution in space. This can greatly simplify the computation.

2. Deblurring Results

References

1. M. Klompenhouwer and L. Velthoven, "Motion blur reduction for liquid crystal displays: Motion compensated inverse filtering," in Proceedings of SPIE-IST Electronic Imaging. SPIE, 2004.
2. Shay Har-Noy and Truong Q. Nguyen, "LCD motion blur reduction: A signal processing approach," IEEE Trans. on Image Processing, vol. 17, pp. 117-125, Feb 2008.