LCD motion blur modeling and simulation

Liquid crystal display (LCD) devices are well known to have slow response due to the physical limitations of the liquid crystals. Therefore, fast moving objects in a scene are often seen blurred on an LCD. In order to reduce motion blur, an accurate LCD model and an efficient deblurring algorithm are needed. However, existing LCD models are inadequate to reflect the human eye tracking limitation. Also, the spatial-temporal equivalence in LCD models is widely used but not proven directly in the 2D discrete spatial domain. In this paper, we study the human eye tracking limit by reviewing a number of papers in the cognitive science literature. We provide both theoretical and experimental arguments to support our findings. Also, we prove the spatial-temporal equivalence rigourously and verify the results using real video sequences.