Robust Image Authentication in the Presence of Noise

Nonfiction, Computers, Application Software, Multimedia, Science & Nature, Technology, Electronics
Cover of the book Robust Image Authentication in the Presence of Noise by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319131566
Publisher: Springer International Publishing Publication: April 6, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319131566
Publisher: Springer International Publishing
Publication: April 6, 2015
Imprint: Springer
Language: English

This book addresses the problems that hinder image authentication in the presence of noise. It considers the advantages and disadvantages of existing algorithms for image authentication and shows new approaches and solutions for robust image authentication. The state of the art algorithms are compared and, furthermore, innovative approaches and algorithms are introduced. The introduced algorithms are applied to improve image authentication, watermarking and biometry.

Aside from presenting new directions and algorithms for robust image authentication in the presence of noise, as well as image correction, this book also:

  • Provides an overview of the state of the art algorithms for image authentication in the presence of noise and modifications, as well as a comparison of these algorithms,
  • Presents novel algorithms for robust image authentication, whereby the image is tried to be corrected and authenticated,
  • Examines different views for the solution of problems connected to image authentication in the presence of noise,
  • Shows examples, how the new techniques can be applied to image authentication, watermarking and biometry.

This book is written on the one hand for students, who want to learn about image processing, authentication, watermarking and biometry, and on the other hand for engineers and researchers, who work on aspects of robustness against modifications of secure images.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book addresses the problems that hinder image authentication in the presence of noise. It considers the advantages and disadvantages of existing algorithms for image authentication and shows new approaches and solutions for robust image authentication. The state of the art algorithms are compared and, furthermore, innovative approaches and algorithms are introduced. The introduced algorithms are applied to improve image authentication, watermarking and biometry.

Aside from presenting new directions and algorithms for robust image authentication in the presence of noise, as well as image correction, this book also:

This book is written on the one hand for students, who want to learn about image processing, authentication, watermarking and biometry, and on the other hand for engineers and researchers, who work on aspects of robustness against modifications of secure images.

More books from Springer International Publishing

Cover of the book Kenneth Warren and the Great Neglected Diseases of Mankind Programme by
Cover of the book Stopping Climate Change: the Case for Hydrogen and Coal by
Cover of the book State-Trace Analysis by
Cover of the book Atlas of Head and Neck Robotic Surgery by
Cover of the book AI*IA 2016 Advances in Artificial Intelligence by
Cover of the book QC-LDPC Code-Based Cryptography by
Cover of the book Family Life in Britain, 1650–1910 by
Cover of the book Information- and Communication Theory in Molecular Biology by
Cover of the book Applications of Ion Exchange Materials in the Environment by
Cover of the book Optimal Control of Stochastic Difference Volterra Equations by
Cover of the book Progress in Botany Vol. 80 by
Cover of the book Biomaterials and Their Applications by
Cover of the book Web Services and Formal Methods by
Cover of the book Protestantism in Xiamen by
Cover of the book Phosphodiesterases: CNS Functions and Diseases by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy