RT conference output
T1 Spatio-Temporal Cellular Automata-Based Filtering  for Image Sequence Denoising
A1 Priego Torres, Blanca María
A1 Prieto, Abraham
A1 Duro, Richard J.
A1 Chanussot, Jocelyn
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 Noise reduction
K1 Image sequences
K1 Automata
K1 Filtering
K1 Training
K1 Genetic algorithms
K1 Filtering algorithms
AB This work describes a novel spatio-temporal cellular automata-based filtering algorithm (st-CAF) intended for performing image sequence denoising processes. The approach presents several advantages over more traditional single frame denoising techniques presented in the literature or even over their adaptation to sequences. Especially the fact that the cellular automaton used is able to contemplate information concerning the type of noise through the use of specific sequences to tune the algorithm, as well as temporal information by means of a spatio-temporal neighborhood when processing each pixel of the sequence. These two elements lead to significant improvements in the results with respect to simple spatial or temporal sets of neighbors.
PB IEEE
SN 9781509061815
YR 2017
FD 2017
LK http://hdl.handle.net/10498/34702
UL http://hdl.handle.net/10498/34702
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026