Title :
Nonlinear model-based spatio-temporal filtering of image sequences
Author :
Chan, Cheuk L. ; Sullivan, Barry J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Abstract :
A Volterra model-based spatio-temporal filter for the enhancement of noise-corrupted image sequences is considered. This model uses estimates of higher-order statistics (HOS) to filter non-wide-sense stationary (WSS) image sequences that cannot be correctly modeled by second-order statistics alone. Some results are shown for this filter when it is applied along the direction of motion in image sequences with simulated noise
Keywords :
filtering and prediction theory; picture processing; Volterra nonlinear model; higher-order statistics; image enhancement; image sequences; nonwide sense stationary sequences; second-order statistics; simulated noise; spatiotemporal filter; Clinical diagnosis; Finite impulse response filter; Gaussian noise; Higher order statistics; Image sequences; Information filtering; Information filters; Motion estimation; Noise reduction; Signal to noise ratio;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.151031
