£118.99

Springer Natural Image Statistics - Probabilistic Approach Book

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Description

Natural Image Statistics: A Probabilistic Approach to Early Computational Vision offers a deep look into the statistical structure of natural images. This book serves as both an introductory textbook and a research monograph, making it a valuable resource for students and researchers in the field of computational imaging and vision. By analyzing photographs of typical environments, this text uses various statistical models to describe image structures through parameters estimated from image samples. A primary focus of this work is the computational modeling of biological visual systems. It presents a theoretical framework that explores how the properties of the visual system relate to the statistical nature of the world around us. Whether you are studying graphics, multimedia, or computer vision, this Springer publication provides the foundational knowledge needed to understand how natural environments are represented mathematically.

Key Features

Serves as both an introductory textbook and a research monograph for students and professionals.

Explores the statistical structure of natural images using various statistical models.

Provides a theoretical framework for the computational modeling of biological visual systems.

Uses parameters estimated from image samples to describe typical environmental photographs.

Part of the Computational Imaging and Vision series (Volume 39) from Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
22 October 2010
Listed Since
08 July 2011

Barcode

No barcode data available

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