Title :
A trained motion adaptive temporal filter based on proportional-integral-derivative temporal classification
Author :
Lim, Kyoung Won ; Kim, Sung Deuk
Author_Institution :
LG Electron., Seoul, South Korea
Abstract :
A classification-based trained motion adaptive temporal filtering scheme was proposed. The proposed method calculates class code and assigns optimal temporal filter coefficients based on pixel-wise temporal movement. The proportional-integral-derivative (PID) control concept was newly applied to enhance classifier. The proposed method involves integral and derivative terms of temporal movement as well as conventional proportional term. Simulation results show that significant improvement was achieved with new classification method.
Keywords :
adaptive filters; image classification; image motion analysis; three-term control; PIDcontrol; pixel-wise temporal movement; proportional integral derivative control; proportional-integral-derivative temporal classification; trained motion adaptive temporal filter; Adaptive filters; Filtering; Noise measurement; Noise reduction; Pixel; Table lookup; Training;
Conference_Titel :
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8711-0
DOI :
10.1109/ICCE.2011.5722838