Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48868
Título: An image distance measure insensitive to amplitude and mean value variations. Application to data reduction through SVD
Autores/as: Jezieniecki, Roberto
Rovaris, Eduardo 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Image data reduction
Distance Measure
Singular Value Decomposition
Fecha de publicación: 1991
Editor/a: 0165-6074
Publicación seriada: Microprocessing and Microprogramming 
Resumen: The traditional m.s.e. distance evaluation, used commonly as a measure of degradation of images (or signals in general) through a given process, is very much affected by any linear amplification or mean value variation in the image. The significative contents of an image doesn't change with any one of the mentioned operations, so a fair distance measure should be independent from their effects. This paper describes a distance measure that fulfill this condition, and uses it to evaluate the evolution of the degradation during the Singular Values Dyadic Decomposition of some given discrete images represented by matrices. Results are plotted and discussed.
URI: http://hdl.handle.net/10553/48868
ISSN: 0165-6074
DOI: 10.1016/0165-6074(91)90385-7
Fuente: Microprocessing and Microprogramming[ISSN 0165-6074],v. 32, p. 453-460
Colección:Artículos
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