Hypercomplex Signal and Image Processing: Part 2 [From the Guest Editors]

Abstract

Hypercomplex signal and image processing extends upon conventional methods by using hypercomplex numbers in a unified framework for algebra and geometry. The special issue is divided into two parts and is focused on current advances and applications in computational signal and image processing in the hypercomplex domain. The first part offered well-rounded coverage of the field, with seven articles that focused on overviews of current research, color image processing, signal filtering, and machine learning.