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Springer Vision Models and Applications to Image and Video Processing - Springer

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Description

Vision Models and Applications to Image and Video Processing explores computational approaches to understanding visual perception and image quality assessment. This Springer publication bridges engineering and vision science, demonstrating how traditional metrics like mean square error fall short in evaluating digital video systems. The book delves into vision science fundamentals and computational modeling techniques essential for professionals developing test methodologies and measurement frameworks for image and video technologies. Ideal for engineers and computer scientists seeking to apply vision modeling principles to real-world applications in digital imaging and video processing.

Key Features

Springer-published comprehensive guide to vision models and their practical applications in image processing workflows.

Covers computational vision science techniques and mathematical frameworks for evaluating digital video system quality.

Explores image quality measurement methodologies beyond simple computational metrics like mean square error.

Bridges engineering problem-solving with vision science theory for test and measurement system development.

Includes applications and case studies relevant to video processing and image quality assessment professionals.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 December 2010
Listed Since
06 July 2010

Barcode

No barcode data available

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