This book presents the main concepts in handling digital images of mixed
content, traditionally referenced as mixed raster content (MRC), in two
main parts. The first includes introductory chapters covering the
scientific and technical background aspects, whereas the second presents
a set of research and development approaches to tackle key issues in MRC
segmentation, compression and transmission.
The book starts with a review of color theory and the mechanism of color
vision in humans. In turn, the second chapter reviews data coding and
compression methods so as to set the background and demonstrate the
complexity involved in dealing with MRC. Chapter three addresses the
segmentation of images through an extensive literature review, which
highlights the various approaches used to tackle MRC segmentation.
The second part of the book focuses on the segmentation of color images
for optimized compression, including multi-layered decomposition and
representation of MRC and the processes that can be employed to optimize
the coding rates of those different layers. Rounding out the coverage,
the final chapter examines the segmentation of color images for
optimized transmission.