Hexagonal Image Processing (Electronic book text)

This book provides an introduction to the processing of hexagonally sampled images, includes a survey of the work done in the field, & presents a novel framework for hexagonal image processing (HIP) based on hierarchical aggregates. The strengths offered by hexagonal lattices over square lattices to define digital images are considerable: higher packing density uniform connectivity of points (pixels) in the lattice better angular resolution by virtue of having more nearest neighbour superlative representation of curves The utility of the HIP framework is shown by implementing several basic image processing techniques (for the spatial & frequency domain) & some applications. Theory & algorithms are covered as well as details such as accommodating hardware that support only images sampled on a square lattice. A CD provides code enabling the reader to develop & test algorithms for processing hexagonal images. This fresh approach offers insight and workable know-how to both researchers & postgraduates.