Loui, A P Venetsanopoulos, A N Smith, K C
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

A methodology based on mathematical morphology is proposed for efficient recognition of two-dimensional (2D) objects or shapes. It is based on the introduction a shape descriptor called the morphological autocorrelation transform (MAT). The MAT of an image is composed of a family of geometrical correlation functions (GCFs) which define its morpholo...

Devaney, A J
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

The problem of reconstructing the complex index of refraction of a weakly inhomogeneous scattering object from measurements of the magnitude (intensity) of the transmitted wavefields in a set of scattering experiments within the context of diffraction tomography (DT) is addressed. It is shown that high quality approximate reconstructions can be obt...

Ozturk, Y Abut, H
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

The authors have investigated the stability problems observed in multichannel multidimensional linear predictive modeling of images. It is known that based on a positive definite autocorrelation matrix, singular values of the matrix H=delta(i+1)xHerm (delta(i+1)) must lie inside the unit circle for a stable solution, where delta(i+1 ) is the normal...

Soumekh, M Choi, J H
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Methods for addressing two types of multiplicative noise in synthetic aperture radar (SAR) imaging are presented. The authors consider a multiplicative noise with a real phase (i.e. the SAR signal's phase is contaminated but its amplitude is uncorrupted) that possesses unknown functional characteristics with respect to the radar signal's temporal f...

Youlal, H Janati-I, M Najim, M
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

The two dimensional (2D) joint process lattice (TDJPL) and its implementations for image restoration applications are examined. A 2D adaptive lattice algorithm (TDAL) is first developed. Convergence properties of the algorithm are covered for the 2D adaptive lattice least mean squares (TDAL-LMS) case. The complexity of the normalized algorithm is s...

Trahanias, P E Venetsanopoulos, A N
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

A method is proposed whereby a color image is treated as a vector field and the edge information carried directly by the vectors is exploited. A class of color edge detectors is defined as the minimum over the magnitudes of linear combinations of the sorted vector samples. From this class, a specific edge detector is obtained and its performance ch...

Chen, C T Wong, A
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Video coding is a key to successful visual communications. An interframe video coding algorithm using hybrid motion-compensated prediction and interpolation is considered for coding studio quality video at a bit rate of over 5 Mb/s. Interframe coding without a buffer control strategy usually results in variable bit rates. Although packet networks m...

Ramchandran, K Vetterli, M
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

A fast rate-distortion (R-D) optimal scheme for coding adaptive trees whose individual nodes spawn descendents forming a disjoint and complete basis cover for the space spanned by their parent nodes is presented. The scheme guarantees operation on the convex hull of the operational R-D curve and uses a fast dynamic programing pruning algorithm to m...

Vincent, L
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Two different formal definitions of gray-scale reconstruction are presented. The use of gray-scale reconstruction in various image processing applications discussed to illustrate the usefulness of this transformation for image filtering and segmentation tasks. The standard parallel and sequential approaches to reconstruction are reviewed. It is sho...

Namazi, N M Lipp, J I
Published in
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

The transformed domain maximum likelihood (TDML) algorithm for image motion estimation is presented. This algorithm finds a solution which maximizes a log-likelihood function using a steepest ascent scheme. Important characteristics of the algorithm are the inclusion of noise in the signal model, the consideration of motion as a nonuniform process,...