TY - JOUR
T1 - Robust fuzzy scheme for Gaussian denoising of 3D color video
AU - Rosales-Silva, Alberto Jorge
AU - Gallegos-Funes, Francisco Javier
AU - Trujillo, Ivonne Bazan
AU - García, Alfredo Ramírez
N1 - Funding Information:
The authors thank the Instituto Politécnico Nacional de México (National Polytechnic Institute of Mexico) and CONACYT for their financial support.
PY - 2014/1
Y1 - 2014/1
N2 - We propose a three-dimensional Gaussian denoising scheme for application to color video frames. The time is selected as a third dimension. The algorithm is developed using fuzzy rules and directional techniques. A fuzzy parameter is used for characterization of the difference among pixels, based on gradients and angle of deviations, as well as for motion detection and noise estimation. By using only two frames of a video sequence, it is possible to efficiently decrease Gaussian noise. This filter uses a noise estimator that is spatio-temporally adapted in a local manner, in a novel way using techniques mentioned herein, and proposing a fuzzy methodology that enhances capabilities in noise suppression when compared to other methods employed. We provide simulation results that show the effectiveness of the novel color video denoising algorithm.
AB - We propose a three-dimensional Gaussian denoising scheme for application to color video frames. The time is selected as a third dimension. The algorithm is developed using fuzzy rules and directional techniques. A fuzzy parameter is used for characterization of the difference among pixels, based on gradients and angle of deviations, as well as for motion detection and noise estimation. By using only two frames of a video sequence, it is possible to efficiently decrease Gaussian noise. This filter uses a noise estimator that is spatio-temporally adapted in a local manner, in a novel way using techniques mentioned herein, and proposing a fuzzy methodology that enhances capabilities in noise suppression when compared to other methods employed. We provide simulation results that show the effectiveness of the novel color video denoising algorithm.
KW - Directional processing
KW - Fuzzy theory
KW - Gaussian noise
KW - Motion detection
KW - Video frames
UR - http://www.scopus.com/inward/record.url?scp=84902002513&partnerID=8YFLogxK
U2 - 10.1186/1687-5281-2014-20
DO - 10.1186/1687-5281-2014-20
M3 - Artículo
SN - 1687-5176
VL - 2014
JO - Eurasip Journal on Image and Video Processing
JF - Eurasip Journal on Image and Video Processing
M1 - 20
ER -