A new operator for the restoration of digital images corrupted by impulse noise is presented. The proposed operator is a simple recursive switching median filter guided by a neuro-fuzzy network functioning as an impulse detector. The internal parameters of the neuro-fuzzy impulse detector are adaptively optimized by training. The training is easily accomplished by using simple artificial images...

The images are affected by random valued impulse noises during the image capturing and processing stages. In this study, an efficient, high performance and low hardware utilized impulse noise reduction algorithm is presented. This methodology determines the optimum direction pixels through the estimation of standard deviation. The edges in the images are preserved during the process of impulse ...

Digital images are often affected by impulse noise during image acquisition and/or transmission over communication channel. A Neural Based Post Processing Technique for Image Quality Enhancement (NBPPTIQE) for enhancing digital images corrupted by impulse noise is proposed in this paper. The proposed filter is an intelligent filter obtained by aptly combining a Nonlinear Filter (NF), Modified C...

-----------------------------------------------------------------------ABSTRACT-----------------------------------------------------------------An efficient two stage morphological impulse noise detector is proposed in this paper. The proposed method first identifies the noise pixels by comparing the current pixel with the brightest and the darkest pixels in its working window and then in secon...

In this paper the receiver for the demodulation of M-FSK signals in the presence of Gaussian noise, intersymbol interference, impulse interference and fading is considered. The probability density function of M-ary FSK signal in the presence of noise, interference and fading is derived. These interferences can seriously degrade the communication system performances. Key-Words: M-ary Frequency S...

In this paper, an intuitive analysis of a phase noise reduction technique is done, and then a modified structure is proposed to achieve higher phase noise reduction than the original one. This method reduces the impact of noise sources on the phase noise by decreasing closed-loop gain in zero-crossings points and moving this high closed-loop gain to the non-zero-crossings points. This reduction...

In this paper, a vector distance histogram based adaptive vector filter is proposed for the restoration of color images contaminated by channel correlated impulse noise. Test results on natural image have shown that the new method is superior in suppressing impulse noise while preserving high image details with a marked performance gain over existing state-of-the-art filters.

The Bernoulli-Gaussian (BG) model is practical to characterize impulsive noises that widely exist in various communication systems. To estimate the BG model parameters from noise measurements, a precise impulse detection is essential. In this paper, we propose a novel blind impulse detector, which is proven to be fast and accurate for BG noise in underspread communication channels.

Modified progressive switching median filter is proposed. It is constructed using introduction of the impulse noise detector from adaptive switching median filter into the progressive switching median filter. The results of comparative analysis of new algorithm with other filters are presented. The results show that the proposed algorithm is more efficient in the case of randomvalued impulse no...

Removal of noise is an essential and challengeable operation in image processing. Before performing any process, images must be first restored. Images may be corrupted by noise during image transmission through electronic media. Noise effect always corrupts any recorded image which is much more harmful for future process. To overcome the problem of noise level in digital images present a review...