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Dynamics of Large Structures and Inverse Problems

Mathematical and Mechanical Engineering Set Volume 5

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Civil Engineering Structures According to the Eurocodes

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Swelling Concrete in Dams and Hydraulic Structures

DSC 2017

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Earthquake Occurrence

Short- and Long-term Models and their Validation

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The Chemostat

Mathematical Theory of Microorganims Cultures

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From Prognostics and Health Systems Management to Predictive Maintenance 2

Knowledge, Traceability and Decision

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First Hitting Time Regression Models

Lifetime Data Analysis Based on Underlying Stochastic Processes

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The Innovative Company

An Ill-defined Object

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Reading and Writing Knowledge in Scientific Communities

Digital Humanities and Knowledge Construction

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Going Past Limits To Growth

A Report to the Club of Rome EU-Chapter

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Computational Color Science

Variational Retinex-like Methods

Edoardo Provenzi, Paris Descartes University, France

ISBN: 9781786301598

Publication Date: March 2017   Paperback   142 pp.

120.00 USD


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Description

Color is a sensation generated both by the interaction of the visual sensors in the eyes with the natural environment and by the elaboration of visual information by higher brain functions.
This book presents the mathematical framework needed to deal with several models of color processing of digital images.
The book starts with a short yet exhaustive introduction to the basic phenomenological features of color vision, which are constantly used throughout the book.
The discussion of computational issues starts with color constancy, which is dealt with in a rigorous and self-contained mathematical setting. Then, the original Retinex model and its numerous variants are introduced and analyzed with direct discrete equations.
The remainder of the book is dedicated to the variational analysis of Retinex-like models, contextualizing their action with respect to contrast enhancement.

Contents

1. Rudiments of Human Visual System (HVS) Features.
2. Computational Color Constancy Algorithms.
3. Retinex-like Algorithms for Color Image Processing.
4. Variational Formulation of Histogram Equalization.
5. Perceptually-inspired Variational Models for Color Enhancement in the RGB Space.

About the Authors

Edoardo Provenzi is Associate Professor at the Paris Descartes University in France. His main research interest is theoretical and applied color image science.

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