Computational techniques involving contrast enhancement and noise filtering on two-
dimensional image arrays are developed based on their local mean and variance. These …

A method of contrast enhancement for digital images is provided. As the method uses the
LoG (Laplacian-of-a-Gaussian) filter, it is not significantly sensitive to noise. It is easy to …

An effective algorithm for digital image noise filtering is presented in this paper. Mostnoise
filtering techniques such as Kalman filter and transform domain methods require extensive …

A conceptually simple but effective noise smoothing algorithm is described. This filter is
motivated by the sigma probability of the Gaussian distribution, and it smooths the image …

This paper describes a new method for contrast enhancement in images and image
sequences of low-light or unevenly illuminated scenes based on statistical modelling of …

This paper investigates some properties of the separable filter resulting from successive
applications of a one-dimensional median filter on the rows and columns of an image …

Two different interpolative schemes for adaptive contrast enhancement have been
presented for speeding up the contrast enhancement algorithm proposed by Beghdadi and …

We present in this paper a new denoising method called non-local means. The method is
based on a simple principle: replacing the color of a pixel with an average of the colors of …

Six adaptive noise filtering algorithms were implemented and evaluated. There are (1)
median filtering,(2) K-nearest neighbor averaging,(3) gradient inverse weighted …

A method for defining image enhancement operators based upon a parametric family is
considered. This family of operators can be used for either context-free or context-sensitive …