Filter banks for improved LCD motion
Image Communication
LCD motion blur reduction using FIR filter banks
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Technical Section: Real-time temporal shaping of high-speed video streams
Computers and Graphics
Local object-based super-resolution mosaicing from low-resolution video
Signal Processing
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Liquid crystal displays (LCDs) have shown great promise in the consumer market for their use as both computer and television displays. Despite their many advantages, the inherent sample-and-hold nature of LCD image formation results in a phenomenon known as motion blur. In this work, we develop a method for motion blur reduction using the Richardson-Lucy deconvolution algorithm in concert with motion vector information from the scene. We further refine our approach by introducing a perceptual significance metric that allows us to weight the amount of processing performed on different regions in the image. In addition, we analyze the role of motion vector errors in the quality of our resulting image. Perceptual tests indicate that our algorithm reduces the amount of perceivable motion blur in LCDs.