Title :
Adaptive coring techniques for spatio-temporal signals
Author_Institution :
David Sarnoff Res. Center, Princeton, NJ, USA
Abstract :
Coring is a nonlinear filtering technique traditionally used by television engineers to reduce the perceptibility of noise in the luminance signal. The author presents a generalization to coring on an oriented 3D decomposition of spatio-temporal signals, along with a psychophysically based method for adaptively setting the shape of the nonlinear coring function at each point in time and space. Noise cleaning results for this 3D coring system are better than those achieved by other coring techniques on typical noisy image sequences
Keywords :
adaptive filters; filtering and prediction theory; image processing; 3D coring system; adaptive coring; filter decomposition; luminance signal; noise cleaning; noisy image sequences; nonlinear coring function; nonlinear filtering; oriented 3D decomposition; psychophysically based method; spatio-temporal signals; spatiotemporal signals; threshold nonlinearity; Cleaning; Electronic mail; Filtering; Image sequences; Linearity; Noise reduction; Noise shaping; Nonlinear filters; Shape; TV;
Conference_Titel :
Visual Motion, 1991., Proceedings of the IEEE Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-8186-2153-2
DOI :
10.1109/WVM.1991.212767
