The paper proposes a new wavelet-based Bayesian approach to image deconvolution, under the space-invariant blur and additive white Gaussian noise assumptions. Image deconvolution ...
We propose a fast text/graphics resolution improvement algorithm with boundary parameterization and wavelet based denoising. Given input images containing labeled text/graphics ob...
We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work [13]. Specifically, trading-off biological accuracy for comput...
A new progressive transmission scheme using spline biorthogorial wavelet bases is proposed in this paper: First, several wavelet bases are compared with the spline biorthogonul nm...
This paper introduces a formulation which allows using wavelet-based priors for image segmentation. This formulation can be used in supervised, unsupervised, or semisupervised mod...