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20142023
most citedEnhanced Directional Smoothing Algorithm for Edge-Preserving Smoothing of Synthetic-Aperture Radar Images

47 citations · 150 across the 31 of their papers we have counts for

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Showing 2016Show all

14 papers · 1 filter

cs.CV2016

Quantum spectral analysis: frequency in time, with applications to signal and image processing

Mario Mastriani

A quantum time-dependent spectrum analysis, or simply, quantum spectral analysis (QSA) is presented in this work, and it is based on Schrodinger equation, which is a partial differ…

cs.CV2016★ 47 cited

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…

cs.CV2016★ 7 cited

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…

cs.CV2016★ 19 cited

Fuzzy thresholding in wavelet domain for speckle reduction in Synthetic Aperture Radar images

Mario Mastriani

The application of wavelet transforms to Synthetic Aperture Radar (SAR) imagery has improved despeckling performance. To deduce the problem of filtering the multiplicative noise to…

cs.CV2016★ 2 cited

Denoising based on wavelets and deblurring via self-organizing map for Synthetic Aperture Radar images

Mario Mastriani

This work deals with unsupervised image deblurring. We present a new deblurring procedure on images provided by low-resolution synthetic aperture radar (SAR) or simply by multimedi…

cs.CV2016★ 7 cited

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…

cs.CV2016★ 17 cited

New wavelet-based superresolution algorithm for speckle reduction in SAR images

Mario Mastriani

This paper describes a novel projection algorithm, the Projection Onto Span Algorithm (POSA) for wavelet-based superresolution and removing speckle (in wavelet domain) of unknown v…

cs.CV2016★ 12 cited

Denoising and compression in wavelet domain via projection onto approximation coefficients

Mario Mastriani

We describe a new filtering approach in the wavelet domain for image denoising and compression, based on the projections of details subbands coefficients (resultants of the splitti…

cs.CV2016★ 1 cited

New version of Gram-Schmidt Process with inverse for Signal and Image Processing

Mario Mastriani

The Gram-Schmidt Process (GSP) is used to convert a non-orthogonal basis (a set of linearly independent vectors, matrices, etc) into an orthonormal basis (a set of orthogonal, unit…

cs.NE2016★ 2 cited

Enhanced Boolean Correlation Matrix Memory

Mario Mastriani

This paper introduces an Enhanced Boolean version of the Correlation Matrix Memory (CMM), which is useful to work with binary memories. A novel Boolean Orthonormalization Process (…

cs.CV2016

Fast Cosine Transform to increase speed-up and efficiency of Karhunen-Loeve Transform for lossy image compression

Mario Mastriani, Juliana Gambini

In this work, we present a comparison between two techniques of image compression. In the first case, the image is divided in blocks which are collected according to zig-zag scan.…

quant-ph2016

Quantum Enhanced Correlation Matrix Memories via States Orthogonalisation

Mario Mastriani, Marcelo Naiouf

This paper introduces a Quantum Correlation Matrix Memory (QCMM) and Enhanced QCMM (EQCMM), which are useful to work with quantum memories. A version of classical Gram-Schmidt orth…

cs.CV2016★ 2 cited

Systholic Boolean Orthonormalizer Network in Wavelet Domain for SAR Image Despeckling

Mario Mastriani

We describe a novel method for removing speckle (in wavelet domain) of unknown variance from SAR images. The me-thod is based on the following procedure: We apply 1) Bidimentional…

cs.CV2016

3D zigzag for multislicing, multiband and video processing

Mario Mastriani

We present a 3D zigzag rafter (first in literature) which allows us to obtain the exact sequence of spectral components after application of Discrete Cosine Transform 3D (DCT-2D) o…