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 basic theory and applications of a set-theoretic approach to image analysis called
mathematical morphology are reviewed. The goals are to show how the concepts of …

Based on two types of image models corrupted by impulse noise, we propose two new
algorithms for adaptive median filters. They have variable window size for removal of …

Introduction A seismic attribute is any measure of seismic data that helps us visually
enhance or quantify features of interpretation interest. A good seismic attribute is either …

Five different constant false alarm rate (CFAR) radar processing schemes are considered
and their performances analyzed in homogeneous and nonhomogeneous backgrounds, the …

Two nonlinear algorithms for processing vector-valued signals are introduced. The
algorithms, called vector median operations, are derived from two multidimensional …

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 …

A method for reducing speckle noise in medical ultrasonic images is presented. It is called
the adaptive weighted median filter (AWMF) and is based on the weighted median, which …

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 …

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 …