The peer group of an image pixel is a pixel similarity-based concept which has been
successfully used to devise image denoising methods. However, since it is difficult to define …

In this paper, a novel approach to the problem of impulsive noise removal in color digital
images is presented. The described switching filter is based on the rank weighted …

The paper presents a review of the author's own results obtained in the last several years.
Some examples of real-time processing of 2D and 3D images are described. In particular …

Real-Time Image and Video Processing presents an overview of the guidelines and
strategies for transitioning an image or video processing algorithm from a research …

To yield well-suited image segmentation results, conventional clustering algorithms depend
on customized hand-crafted features as well as an appropriate initialization process. This …

This paper describes a new filter for impulsive noise reduction in color images based on a
recently introduced family of vector filters with a good ability for preserving details. These …

Adaptive filters are used in a wide range of applications such as echo cancellation, noise
cancellation, system identification, and prediction. Its hardware implementation becomes …

In this paper, we introduce two enhanced Fuzzy C-Means (FCM) clustering algorithms with
spatial constraints for noisy color image segmentation. The Rank M-type L (RM-L) and L …

A new method for removing impulsive noise in color images is presented. The fuzzy metric
peer group concept is used to build novel switching vector filters. In the proposed filtering …

The aim of the present investigation was to filter outliers in facial surface electromyography
(fSEMG) originating from eye blinks, through a decision based filtering technique. Since …