Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48868
Title: An image distance measure insensitive to amplitude and mean value variations. Application to data reduction through SVD
Authors: Jezieniecki, Roberto
Rovaris, Eduardo 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Image data reduction
Distance Measure
Singular Value Decomposition
Issue Date: 1991
Publisher: 0165-6074
Journal: Microprocessing and Microprogramming 
Abstract: 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
Source: Microprocessing and Microprogramming[ISSN 0165-6074],v. 32, p. 453-460
Appears in Collections:Artículos
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