Noise Filtering of Images Using Generalized Singular Spectrum Analysis
Date issued
2008
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
Abstract
There is a noise filtering method for images using Singular Value Decomposition (SVD). This is a method in
which pixel values of an image are regarded as elements of a matrix, the image is separated into rough parts and
detailed parts by SVD of the matrix and the detailed parts of the image are regarded as noise and removed.
Generalized Singular Spectrum Analysis (GSSA) is a method that generalizes SVD to treat more generalized
data structures than in SVD. In this research, we present noise filtering methods of images using GSSA.
Description
Subject(s)
generalizovaná analýza jednotného spektra, singulární rozklad, filtrování šumu
Citation
WSCG '2008: Communication Papers: The 16-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 4 - 7, 2008, p. 47-54.