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This paper presents a texture descriptor based on the fine detail coefficients at three resolution levels of a traslation invariant undecimated wavelet transform. First, we consider vertical and horizontal wavelet detail coefficients at the same position as the components of a bivariate random vector, and the magnitude and angle of these vectors are computed. The magnitudes are modeled by a Generalized...
We present a nonlinear lossless compressor designed for multispectral images consisting of few bands and having greater spatial than spectral correlation. Our compressor is based on a 2-D integer wavelet transform that reduces spatial correlation. Different models for the statistical dependences of wavelet detail coefficients are analyzed and tested to perform linear inter/intraband predictions. Band,...
We present a nonlinear lossless compressor for multispectral images that exploits both intraband and interband correlations. A 2-dimensional wavelet transform is performed on each image band, and then the interband and remaining intraband correlations are exploited via an affine prediction of the wavelet coefficients, conditioning it to class information.
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