This paper provides a literature review on Adaptive Line Enhancer (ALE) methods based on
adaptive noise cancellation systems. Such methods have been used in various applications …

Two-dimensional (2-D) adaptive filtering is a technique that can be applied to many image
processing applications. This paper will focus on the development of an improved 2-D …

In this paper, a non-causal linear prediction based adaptive vector median filter is proposed
for removal of high density impulse noise from color images. Generally, when an image is …

In this paper, an advanced approach to characterize defects in homogeneous materials
based on multiresolution analysis of infrared images is presented. This is mainly a non …

To boost the detect ability of dim small targets, this paper began by using improved
anisotropy for background prediction (IABP), followed by target enhancement by improved …

This paper presents an efficient architecture for two-dimensional (2-D) adaptive FIR filter
architecture using the distributed arithmetic (DA) algorithm. DA-based filter architectures …

Two-dimensional orthogonal lattice filters are developed as a natural extension of the 1-D
lattice parameter theory. The method offers a complete solution for the Levinson-type …

This paper is mainly devoted to the derivation of a new two-dimensional fast lattice recursive
least squares (2D FLRLS) algorithm. This algorithm updates the filter coefficients in growing …

This paper presents a new two-dimensional (2-D) optimum block stochastic gradient
(TDOBSG) algorithm for 2-D adaptive finite impulse response (FIR) filtering. The TDOBSG …

An adaptive filtering algorithm based on an Euclidean direction search (EDS) method is
presented for image restoration. It is a fast algorithm and has a computational complexity of …