This paper investigates the statistical characterizationof multiscale wavelet coefficients corresponding to random signals and images. Virtually all approaches to wavelet shrinkag...
In this paper we propose a fast motion estimation technique that works in the wavelet domain. The computational cost of the algorithm turns out to be proportional to the linear si...
Davide Maestroni, Augusto Sarti, Marco Tagliasacch...
Using statistical modeling in the wavelet domain, we address the problem of image denoising. Despite being effective, the denoised images can suffer from the Gibbs-like artifacts,...
We consider the problem of estimating and encoding depth maps from multiple views in the context of 3D-TV with free-viewpoint rendering. We propose a novel codec based on the Rate...
This paper describes salienShrink, a method to denoise images based on computing a map of salient coefficients in the wavelet domain and use it to improve common denoising algorit...
Konstantinos Rapantzikos, Yannis S. Avrithis, Stef...
The earth mover's distance (EMD) [16] is an important perceptually meaningful metric for comparing histograms, but it suffers from high (O(N3 log N)) computational complexity...