Title :
Digital noise-resistant SVD-Wiener filter
Author :
V. V. Sazonov;M. A. Shcherbakov
Author_Institution :
Penza State University, Penza, str. Krasnaja, 40, Russia
Abstract :
The noise-resistant method of image surveillance is described. The comparative analysis of known methods of recovery of images against hindrances of various nature is carried out. Examples of effective "singular" suppression of hindrances in a problem of video surveillance and control are given.
Keywords :
"Matrix decomposition","Image restoration","Wiener filters","Approximation methods","Distortion","Filtering theory","Filtration"
Conference_Titel :
ELMAR (ELMAR), 2015 57th International Symposium
Print_ISBN :
978-953-184-209-9
DOI :
10.1109/ELMAR.2015.7334488
