Natural Image Statistics: A Probabilistic Approach to Early Computational Vision.

Name: Natural Image Statistics: A Probabilistic Approach to Early Computational Vision.
Brand: Springer
SKU: 9781849968447
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by Aapo Hyvärinen

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ISBN13: 9781849968447
Binding: Paperback
Subject: N/A
Publisher: Springer
Publisher Imprint: Springer
Publication Date: October 22, 2010
Pages: 448
Original Price: EUR 179.99
Language: English
Edition: N/A
Item Weight: 701 grams
BISAC Subject(s): Electronics / General, Artificial Intelligence / Computer Vision & Pattern Recognition, and Neuroscience

About The Book

From the Back Cover

One of the most successful frameworks in computational neuroscience is modelling visual processing using the statistical structure of natural images. In this framework, the visual system of the brain constructs a model of the statistical regularities of the incoming visual data. This enables the visual system to perform efficient probabilistic inference. The same framework is also very useful in engineering applications such as image processing and computer vision.

This book is the first comprehensive introduction to the multidisciplinary field of natural image statistics and its intention is to present a general theory of early vision and image processing in a manner that can be approached by readers from a variety of scientific backgrounds. A wealth of relevant background material is presented in the first section as an introduction to the subject. Following this are five unique sections, carefully selected so as to give a clear overview of all the basic theory, as well as the most recent developments and research. This structure, together with the included exercises and computer assignments, also make it an excellent textbook.

Natural Image Statistics is a timely and valuable resource for advanced students and researchers in any discipline related to vision, such as neuroscience, computer science, psychology, electrical engineering, cognitive science or statistics.

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