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Temporal, spatial, and higher-dimensional processes vary from observation to observation and are dealt with by science and engineering. Random processes provide the tools for understanding observations as a whole. This text strives to highlight the significance of random processes for image and signal processing. Integrated with special cases that provide clear insights into the subject, the book covers basic probability theory (with special attention to multivariate distributions and functions of several random variables), canonical representation, transform coding, optimal filter design (both linear and nonlinear), neural networks, discrete and continuous time Markov chains, and the theory of random closed sets.
Proofs are provided within the main text to enhance conceptual understanding. Also, a clear distinction is made between deterministic concepts and their random counterparts. The large number of imaging applications would considerably help in comprehending the concepts discussed, and the many exercises provided at the end of each chapter would drill students in self-study.
Students offering courses in probability and statistics and image processing would immensely profit by reading this book.isbn-8120323343
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Pages : 616
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