This review article provides a comprehensive survey on state-of-the-art impulse and
Gaussian denoising filters applied to images and summarizes the progress that has been …

Weighted Median (WM) filters have the robustness and edge preserving capability of the
classical median filter and resemble linear FIR filters in certain properties. Furthermore, WM …

At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

Fundamentals of Nonlinear Digital Filtering is the first book of its kind, presenting and
evaluating current methods and applications in nonlinear digital filtering. Written for …

We introduce a local image statistic for identifying noise pixels in images corrupted with
impulse noise of random values. The statistical values quantify how different in intensity the …

A new framework for removing impulse noise from images is presented in which the nature
of the filtering operation is conditioned on a state variable defined as the output of a …

Removing noise from the original signal is still a challenging problem for researchers. There
have been several published algorithms and each approach has its assumptions …

Reducing noise has always been one of the standard problems of the image analysis and
processing community. Often though, at the same time as reducing the noise in a signal, it is …

This paper presents a simple, yet efficient way to remove impulse noise from digital images.
This novel method comprises two stages. The first stage is to detect the impulse noise in the …

In this paper, a median based filter called relaxed median filter is proposed. The filter is
obtained by relaxing the order statistic for pixel substitution. Noise attenuation properties as …