Impulse studies of scattering by finite noise barriers

Removal of Impulse Noise by Selective Filtering

In this paper we present a novel structure for removal of impulse noise which is based on a combination of impulse detection and nonlinear ltering. The impulse detector is realized as a neural network which will be shown to possess a very simple structure. This means that, compared to traditional approaches, a signiicant gain in performance can be achieved with considerably smaller complexity. ...

Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting

This article studies the problem of image restoration of observed images corrupted by impulse noise and mixed Gaussian impulse noise. Since the pixels damaged by impulse noise contain no information about the true image, how to find this set correctly is a very important problem. We propose two methods based on blind inpainting and `0 minimization that can simultaneously find the damaged pixels...

An analysis of electromagnetic scattering from finite-width strips

Experimental Diagnostics of Impulse Noise

The paper describes methodology of experimental diagnostics examining the influence of small home appliances in operation resulting in the injection of impulse noise into local communication lines. The most important result of practical experiments is a data bank of disturbing impulses that will serve for defining of impulse noise model. Keywords–impulse noise; communication lines; local loop; ...

Filter for Removal of Impulse Noise by Using Fuzzy Logic

Digital image processing is a subset of the electronic domain wherein the image is converted to an array of small integers, called pixels, representing a physical quantity such as scene radiance, stored in a digital memory, and processed by computer or other digital hardware. Fuzzy logic represents a good mathematical framework to deal with uncertainty of information. Fuzzy image processing [4]...