Sold out

Visual Cryptography for Image Processing and Security - Theory, Methods, and Applications

English · Hardback

Description

Read more

This unique book describes the fundamental concepts, theories and practice of visual cryptography. The design, construction, analysis, and application of visual cryptography schemes (VCSs) are discussed in detail. Original, cutting-edge research is presented on probabilistic, size invariant, threshold, concolorous, and cheating immune VCS. Features: provides a thorough introduction to the field; examines various common problems in visual cryptography, including the alignment, flipping, cheating, distortion, and thin line problems; reviews a range of VCSs, including XOR-based visual cryptography and security enriched VCS; describes different methods for presenting color content using visual cryptographic techniques; covers such applications of visual cryptography as watermarking, resolution variant VCS, and multiple resolution VCS. This logically-structured and comprehensive work will serve as a helpful reference for all researchers and students interested in document authentication and cryptography.

List of contents

Fundamental Theory of Visual Cryptography

Various Problems in Visual Cryptography

Various Visual Cryptography Schemes

Various Color Schemes of Visual Cryptography

Various Applications of Visual Cryptography

Product details

Authors Fen Liu, Feng Liu, Wei Qi Yan
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 02.07.2014
 
EAN 9783319096438
ISBN 978-3-31-909643-8
No. of pages 145
Dimensions 161 mm x 242 mm x 12 mm
Illustrations 43 SW-Abb., 6 Farbabb., 9 Tabellen
Subject Natural sciences, medicine, IT, technology > IT, data processing

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.