47 citations · 61 across the 3 of their papers we have counts for
4 papers
Microarrays denoising via smoothing of coefficients in wavelet domain
Mario Mastriani, Alberto. E. Giraldez
We describe a novel method for removing noise (in wavelet domain) of unknown variance from microarrays. The method is based on a smoothing of the coefficients of the highest subban…
Enhanced Directional Smoothing Algorithm for Edge-Preserving Smoothing of Synthetic-Aperture Radar Images
Mario Mastriani, Alberto E. Giraldez
Synthetic aperture radar (SAR) images are subject to prominent speckle noise, which is generally considered a purely multiplicative noise process. In theory, this multiplicative no…
Neural shrinkage for wavelet-based SAR despeckling
Mario Mastriani, Alberto E. Giraldez
The wavelet shrinkage denoising approach is able to maintain local regularity of a signal while suppressing noise. However, the conventional wavelet shrinkage based methods are not…
Kalman's shrinkage for wavelet-based despeckling of SAR images
Mario Mastriani, Alberto E. Giraldez
In this paper, a new probability density function (pdf) is proposed to model the statistics of wavelet coefficients, and a simple Kalman's filter is derived from the new pdf using…