Median type filters take the main stream in suppressing impulse noise, and the Laplacian distribution assumption lays the basis for it. We however demonstrate in this paper that the Gaussian distribution assumption is more preferable than Laplacian distribution assumption in suppressing impulse noise, especially for high noise densities. This conclusion is supported by numerical experiments wit...

In this paper, a simple fuzzy-based algorithm to remove the impulse noise from images is proposed. To achieve real-time applications, the proposed filter architecture, which combines fuzzy noise detection and noise filtering, is also designed. With low computational complexity, simulation results show that the proposed filters effectively remove the impulse noise.

In this paper, robust blind channel equalization is addressed in which the combination of order statistics (OS) and thresholding techniques to suppress impulse noise is considered. We implement nonlinear adaptation with the OS operation based on the Sato error criterion. The threshold is calculated using the variance of the input signal. Computer simulations demonstrate that a significant impro...

Images are often contaminated by impulse noise. The major drawback of median filtering and its variants -that are widely used for removing impulsive noiseis the blurring effect for large window sizes and low noise suppression for small window sizes. In this paper, an algorithm for removing impulse noise in images is proposed. The long-range correlation information in a competitive scheme is uti...

In any cable or power line communications, impulse noise is known to be the most difficult noise to filter. In particular, non periodic asynchronous impulse noise is impossible to predict. Under such noise conditions, the OFDM symbol generally used in PLC is corrupted. To overcome this problem, the signal-to-noise ratio is generally improved by detecting and/or filtering the noise. This leads h...

Impulsive noise in image is one of the common problems in the fields of digital imaging and due to unavoidable inherent causes it is required to filter it by some processing techniques. The FAGA or CPLD based filters are especially preferred because of their high speed parallel operations (unlike microprocessor which execute operations sequentially). This paper discusses the impulse noise and p...

In this paper we consider the problem of restoration of a image contaminated by a mixture of Gaussian and impulse noises. We propose a new statistic called ROADGI which improves the well-known Rank-Ordered Absolute Differences (ROAD) statistic for detecting points contaminated with the impulse noise in this context. Combining ROADGI statistic with the method of weights optimization we obtain a ...