Testing a multivariate model for wavelet coefficients
Roland Kwitt, Peter Meerwald, Andreas Uhl, Geert Verdoolaege · 2011
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.