Image Processing for Computer Graphics and Vision

Stochastic image models and statistical methods for image processing are covered, as is probability theory for image processing, and a focus on applications in image analysis and computer vision.

Bibliographic Details
Main Authors: Velho, Luiz, Frery, Alejandro C. (Author), Gomes, Jonas (Author)
Format: eBook
Language:English
Published: London Springer London 2009, 2009
Edition:2nd ed. 2009
Series:Texts in Computer Science
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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