Filter banks for improved LCD motion

Abstract

In the past several years much attention has been placed on improving the motion picture quality of liquid crystal displays (LCDs). One pervasive problem is motion blur which occurs due to the inherent sample-and-hold nature of LCD image formation. In this work, we take a signal processing approach to motion blur reduction by pre-processing the data before it is sent to the display. We develop a two-channel non-perfect reconstruction filter bank that is able to reduce the amount of perceivable motion blur. In addition, as in similar works, we discriminate between different regions of the scene and weight the application of the algorithm based on their susceptibility to motion blur. Perceptual tests indicate that our algorithm reduces the amount of perceivable motion blur on LCDs.