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 …

A family of nonlinear filters based on order statistics is presented. A mathematical tool
derived through robust estimation theory, order statistics has allowed engineers to develop …

The center weighted median (CWM) filter, which is a weighted median filter giving more
weight only to the central value of each window, is studied. This filter can preserve image …

The function of a filter is to transform a signal into another one more suit able for a given
purpose. As such, filters find applications in telecommunica tions, radar, sonar, remote …

In this paper, we present the adaptive bilateral filter (ABF) for sharpness enhancement and
noise removal. The ABF sharpens an image by increasing the slope of the edges without …

Vector directional filters (VDF) for multichannel image processing are introduced and
studied. These filters separate the processing of vector-valued signals into directional …

Laplacian operator is a second derivative operator often used in edge detection. Compared
with the first derivative-based edge detectors such as Sobel operator, the Laplacian operator …

An approach to obtaining high-resolution image reconstruction from low-resolution, blurred,
and noisy multiple-input frames is presented. A recursive-least-squares approach with …

We propose a decision-based, signal-adaptive median filtering algorithm for removal of
impulse noise. Our algorithm achieves accurate noise detection and high SNR measures …

Resampling detection has become a standard tool for forensic analyses of digital images.
This paper presents new variants of image transformation operations which are …