43 citations · 106 across the 9 of their papers we have counts for
9 papers
Entropy-map SSIM analysis of Salt and Pepper Noise Removal via Recursive Median Filterring
Petr Boriskov, Andrei Velichko
This paper studies the removal of salt-and-pepper (SP) noise from grayscale images using a median filter (MF) within a recursive thresholding algorithm. Denoising performance is as…
Local SVD-Entropy Maps as a Complementary Structural Representation for Full-Reference and No-Reference Image Quality Assessment
Andrei Velichko, Petr Boriskov
We investigate a local spectral-complexity representation for perceptual image quality assessment (IQA) based on Shannon entropy of singular values computed directly from two-dimen…
Recursive Threshold Median Filter and Autoencoder for Salt-and-Pepper Denoising: SSIM analysis of Images and Entropy Maps
Petr Boriskov, Kirill Rudkovskii, Andrei Velichko
This paper studies the removal of salt-and-pepper noise from images using median filter (MF) and simple three-layer autoencoder (AE) within recursive threshold algorithm. The perfo…
A Novel Approach for Estimating Largest Lyapunov Exponents in One-Dimensional Chaotic Time Series Using Machine Learning
A. Velichko, M. Belyaev, P. Boriskov
Understanding and quantifying chaos from data remains challenging. We present a data-driven method for estimating the largest Lyapunov exponent (LLE) from one-dimensional chaotic t…
Entropy-statistical approach to phase-locking detection of pulse oscillations: application for the analysis of biosignal synchronization
Petr Boriskov, Vadim Putrolaynen, Andrei Velichko +1
In this study a new method for analyzing synchronization in oscillator systems is proposed using the example of modeling the dynamics of a circuit of two resistively coupled pulse…
A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science
Andrei Velichko, Petr Boriskov, Maksim Belyaev +1
The study presents a bio-inspired chaos sensor model based on the perceptron neural network for the estimation of entropy of spike train in neurodynamic systems. After training, th…
Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding
Andrei Velichko, Petr Boriskov
The study presents an oscillator circuit for a spike neural network with the possibility of firing rate coding and sigmoid-like activation function. The circuit contains a switchin…
Switch Elements with S-Shaped Current-Voltage Characteristic in Models of Neural Oscillators
Petr Boriskov, Andrei Velichko
In this paper, we present circuit solutions based on a switch element with the S-type I-V characteristic implemented using the classic FitzHugh-Nagumo and FitzHugh-Rinzel models. U…
A Model of an Oscillatory Neural Network with Multilevel Neurons for Pattern Recognition and Computing
Andrei Velichko, Maksim Belyaev, Petr Boriskov
The current study uses a novel method of multilevel neurons and high order synchronization effects described by a family of special metrics, for pattern recognition in an oscillato…