Impulsive noise filtering is an important problem of image processing. The problem of noise elimination is closely connected with the problem of maximal preservation of image edges. The requirement of maximal preservation of edges is especially important for images corrupted by impulsive noise with a low corruption rate. To avoid smoothing of the image during filtering, all noisy pixels must be...

--Windyga’s peak-and-valley filter is a well recognized filter among researchers which is used to remove impulsive noise in many image processing applications; but its main limitation is that it works only for low density of noises. In this Paper, a variation of the two dimensional peak-and-valley filters is proposed to overcome this problem. It is based on minimum/maximum values present in the...

An investigation has been made to find out the impact of channel variance mismatch to the performance serial turbo codes (SCCC) equipping with talwar penalty function over impulsive channels. The impulsive noise channel is blamed to be the culprit of signal impairment and causes severe performance degradation to modern SCCC which traditionally has been designed to perform optimally in additive ...

Finding optimum distributed detection schemes is a diicult mathematical problem. Cases with dependent non-Gaussian impulsive noise are of particular interest and have not yet been studied. Here a two-sensor known-signal detection problem is considered where additive impulsive noise, which is dependent from sensor to sensor, corrupts the observations. The noise is modeled as a mixture of Gaussia...

The paper explores the problem of turbo equalisation and channel estimation under class-A impulsive noise. The channel is a frequency selective fading channel in which its time varying coefficients are expanded into a finite number of basis sequences and time invariant (TI) expansion parameters. Instead of the application of a maximum likelihood (ML) approach in its standard form, the proposed ...

In this paper, a new adaptive robustified filter algorithm of recursive weighted least squares with combined scale and variable forgetting factors for time-varying parameters estimation in non-stationary and impulsive noise environments has been proposed. To reduce the effect of impulsive noise, whether this situation is stationary or not, the proposed adaptive robustified approach extends the ...

A block sparse memory improved proportionate affine projection sign algorithm (BS-MIP-APSA) is proposed for block sparse system identification under impulsive noise. The new BS-MIP-APSA not only inherits the performance improvement for block-sparse system identification, but also achieves robustness to impulsive noise and the efficiency of the memory improved proportionate affine projection sig...

K. N. Plataniotis A. N. Venetsanopoulos Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King’s College Road Toronto, Ontario M5S 3G4, Canada E-mail: [email protected] Abstract. A new approach to the problem of impulsive-noise reduction for color images is introduced. The major advantage of the technique is that it filters out the noise compon...

This paper addresses the array processing problems (mainly focuses on direction of arrival estimation and beamforming) of mobile communication system using linear antenna arrays in high impulsive noise environment. One possible way to simulate the impulsive noise is to introduce alpha-stable distribution as the noise model. In order to reduce the computational complexity, the problems of DOA an...