Stochastic Image Processing provides the first thorough treatment of Markov and hidden Markov random fields and their application to image processing. Although

This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art

This long-established and well-received monograph offers an integral view of image processing - from image acquisition to the extraction of the data of interest

Mathematical Nonlinear Image Processing deals with a fast growing research area. The development of the subject springs from two factors: (1) the great expansio

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian