This book provides a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics. The authors concentrate on describing and analyzing the underlying concepts rather than on presenting algorithms or pseudocode.

Image processing is concerned with the analysis and manipulation of images by computer. Providing a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics, the authors concentrate on describing and analyzing the underlying concepts rather than on presenting algorithms or pseudocode. As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics: signal processing, data discretization, the theory of colour and different colour systems, operations in images, dithering and half-toning, warping and morphing and image processing.

This second edition reflects recent trends in science andtechnology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered as are: A modern approach and new developments in the area, Probability theory for image processing, Applications in image analysis and computer vision.

Provides a modern introduction to both the underlying mathematics and the main concepts and techniques of the subject Covers important modern techniques such as morphing and warping images as well as dithering, compositing, and other operations on images Significantly expanded and revised, this second edition includes 5 new chapters and major changes throughout

Autorentext
Tiago Novello is a Postdoctoral Researcher at IMPA Vision and Graphics (VISGRAF) Laboratory. He obtained a D.Sc. in Applied Mathematics at Pontifícia Universidade Católica do Rio de Janeiro, an M.Sc. in Mathematics from the Universidade Federal de Alagoas, and a B.Sc. in Mathematics at Universidade Estadual do Paraná. Vinícius da Silva is a Postdoctoral Researcher at PUC-Rio. He obtained his D.Sc. and M.Sc in Computer Science from the Federal University of Rio de Janeiro. His research interests are Real-Time Computer Graphics, Virtual Reality, Games, and Machine Learning, with a current focus on Real-Time Ray Tracing. Luiz Velho is a Senior Researcher/Professor at IMPA and the leading scientist of the VISGRAF Laboratory. He received a B.E. in Industrial Design from ESDI, an M.S. in Computer Graphics from the MIT/Media Lab, and a Ph.D. in Computer Science from the University of Toronto. His experience spans the fields of modeling, rendering, imaging, and animation.

Inhalt
Signal Theory.- Random Processes.- Fundamentals of Color.- Color Systems.- Digital Images.- Operations on Images.- Sampling and Reconstruction.- Multiscale Analysis and Wavelets.- Probabilistic Image Models.- Color Quantization.- Digital Halftoning.- Image Compression.- Combining Images.- Warping and Morphing.- Image Systems.