Image representation is an important topic in computer vision and pattern recognition. It
plays a fundamental role in a range of applications toward understanding visual contents …

The quaternion least mean square (QLMS) algorithm is introduced for adaptive filtering of
three-and four-dimensional processes, such as those observed in atmospheric modeling …

The quaternion Fourier–Mellin moments for describing color images are introduced, which
can be seen as the generalization of traditional Fourier–Mellin moments for gray-level …

One of the most important issues for researchers developing image processing algorithms is
image quality. Methodical quality evaluation, by showing images to several human …

A systematic framework for the calculation of the derivatives of quaternion matrix functions
with respect to quaternion matrix variables is introduced. The proposed approach is …

Quaternion and Clifford Fourier Transforms describes the development of quaternion and
Clifford Fourier transforms in Clifford (geometric) algebra over the last 30 years. It is the first …

* A special volume devoted principally to therole of the late Sir Charles Oatley in the
development of the scanning electron microscopeings* It contains historical articles and …

Abstract matlab® is a numerical computing environment oriented towards manipulation of
matrices and vectors (in the linear algebra sense, that is arrays of numbers). Until now, there …

Color images can be treated as two-dimensional quaternion functions. For analysis of
quaternion images, a joint space-wavenumber localized quaternion S transform (QS) is …

Recent advances in sensor and communication technologies have made the deployment of
sensor networks in a variety of roles feasible, including smart grid management applications …