DocumentCode
2816358
Title
Testing a multivariate model for wavelet coefficients
Author
Kwitt, Roland ; Meerwald, Peter ; Uhl, Andreas ; Verdoolaege, Geert
Author_Institution
Dept. of Comput. Sci., Univ. of Salzburg, Salzburg, Austria
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
1277
Lastpage
1280
Abstract
In this paper, we introduce a Goodness-of-Fit test for the Multivariate Exponential Power (MEP) distribution, a multivariate extension of the Generalized Gaussian, which has recently gained considerable interest as a model for wavelet coefficients in the context of color image retrieval and spread-spectrum watermarking. We present a size and power study of this test and show Goodness-of-Fit results for wavelet coefficients of natural and texture images from various popular databases.
Keywords
Gaussian processes; image colour analysis; image retrieval; color image retrieval; generalized Gaussian; multivariate exponential power distribution; spread-spectrum watermarking; wavelet coefficients; Conferences; Discrete wavelet transforms; Estimation; Monte Carlo methods; Shape; Testing; Vectors; Hypothesis testing; Multivariate modeling; Wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6115667
Filename
6115667
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