Robust Image Authentication in the Presence of Noise

ISBN-13: 9783319131559 / Angielski / Twarda / 2015 / 187 str.

Natasa Zivic

Opis

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.

Spis treści

State of the art image authentication algorithms for content based authentication.- Basic concepts.- Categories according to the feature extraction method.- The most popular algorithms for image authentication.- Authentication using watermarking.- Introduction.- Watermarking Embedding.- Watermarking Extraction.- State of the art fuzzy authentication schemes.- Elementary background and definitions.- Security analysis and adversary model.- Approximate message authentication code (AMAC).- Two provable secure fuzzy authentication schemes.- Design philosophy.- Conclusion.- Algorithms for image correction and authentication based on hard verification.- Elementary background and definitions.- Two approaches for noise tolerant authentication and correction of images.- An approach based on rotation-invariant image hashing scheme based on NMF matrix factorization.- Security of image authentication schemes.- Algorithms for image correction and authentication based on soft verification.- Soft Verification versus Hard Verification.- Soft Input Soft Verification.- Algorithms for correction and authentication of images.

O autorze

Dr. – Ing. habil. Natasa Zivic is an Assistant Professor and Private Docent at the University of Siegen.