Noise Filtering of Images Using Generalized Singular Spectrum Analysis

Date issued

2008

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.
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