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Quadratic Volterra filters are shown to be very effective in image sharpening applications. The linear combination of polynomial terms, however, yields poor performance in noisy environments. Weighted median filters, in contrast, are well-known for their outlier suppression and detail preservation properties. The weighted median sample selection methodology is naturally extended to the polynomial...
Compressed sensing shows that a sparse or compressible signal can be reconstructed from a few incoherent measurements. Noting that sparse signals can be well modeled by algebraic-tailed impulsive distributions, in this paper, we formulate the sparse recovery problem in a Bayesian framework using algebraic-tailed priors from the generalized Cauchy distribution (GCD) family for the signal coefficients...
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