47 citations · 150 across the 31 of their papers we have counts for
33 papers
Entanglement parallelization via quantum Fourier transform
Mario Mastriani
In this study, we present a technique based on the quantum Fourier transform (QFT) that allows the generation of disjoint sets of entangled particles, in such a way that particles…
Quantum Fourier states and gates: Teleportation via rough entanglement
Mario Mastriani
Quantum Fourier gates (QFG) constitute a family of quantum gates that result from an exact combination of the quantum Fourier transform (QFT) and the SWAP gate. As a direct consequ…
Non-distributable key sharing for improving the security in IoT networks
Mario Mastriani
Quantum key distribution (QKD) constitutes the most widespread family of information preservation techniques in the context of Quantum Cryptography. However, these techniques must…
Quantum key secure communication protocol via enhanced superdense coding
Mario Mastriani
In the last decades, Quantum Cryptography has become one of the most important branches of Quantum Communications with a particular projection over the future Quantum Internet. It…
Bidirectional teleportation for underwater quantum communications
Sundaraja Sitharama Iyengar, K. J. Latesh Kumar, Mario Mastriani
In this work, we evaluate the performance of a bidirectional teleportation protocol on an IBM-Q's quantum processor of six or more qubits. If the experiment is successful, we will…
Fourier's quantum information processing
Mario Mastriani
We demonstrate that quantum information processing (QIP) completely rests on quantum Fourier transform (QFT), and 190 years after his death, the work of Jean-Baptiste Joseph Fourie…
Analysis of five techniques for the internal representation of a digital image inside a quantum processor
Sundaraja Sitharama Iyengar, Latesh K. J. Kumar, Mario Mastriani
In this paper, five techniques, for the representation of a digital image inside a quantum processor, are compared. The techniques are: flexible representation of quantum images (F…
Satellite quantum repeaters for a quantum Internet
Sundaraja Sitharama Iyengar, Mario Mastriani
This work presents a satellite alternative to quantum repeaters based on the terrestrial laid of optical fiber, where the latter have the following disadvantages: a propagation spe…
Quantum Image Processing: the truth, the whole truth, and nothing but the truth about its problems on internal image representation and outcomes recovering
Mario Mastriani
In this paper, three techniques of internal image-representation in a quantum computer are compared: Flexible Representation of Quantum Images (FRQI), Novel Enhanced Quantum Repres…
Non-ambiguity quantum teleportation protocol
Mario Mastriani
Teleportation is the most important and impactful tool in the arsenal of quantum communications with a particular projection on quantum internet. We propose a non-ambiguity alterna…
Teleporting digital images
Mario Mastriani
During the last 25 years the scientific community has coexisted with the most fascinating protocol due to Quantum Physics: quantum teleportation (QTele), which would have been impo…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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 (…
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.…
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…