Bin Yan & Yong Xiang 
Improving Image Quality in Visual Cryptography [PDF ebook] 

Support


This book comprehensively covers the important efforts in improving the quality of images in visual cryptography (VC), with a focus on cases with gray scale images. It not only covers schemes in traditional VC and extended VC for binary secret images, but also the latest development in the analysis-by-synthesis approach.

This book distinguishes itself from the existing literature in three ways. First, it not only reviews traditional VC for binary secret images, but also covers recent efforts in improving visual quality for gray scale secret images. Second, not only traditional quality measures are reviewed, but also measures that were not used for measuring perceptual quality of decrypted secret images, such as Radially Averaged Power Spectrum Density (RAPSD) and residual variance, are employed for evaluating and guiding the design of VC algorithms. Third, unlike most VC books following a mathematical formal style, this book tries to make a balance between engineeringintuition and mathematical reasoning. All the targeted problems and corresponding solutions are fully motivated by practical applications and evaluated by experimental tests, while important security issues are presented as mathematical proof. Furthermore, important algorithms are summarized as pseudocodes, thus enabling the readers to reproduce the results in the book. Therefore, this book serves as a tutorial for readers with an engineering background as well as for experts in related areas to understand the basics and research frontiers in visual cryptography.

€96.29
Zahlungsmethoden

Inhaltsverzeichnis

Introduction.- Basic visual cryptography algorithms.- Improving the visual quality for binary secret images.- Digital Halftoning.- Improving visual quality for share images.- Improving visual quality for probabilistic and random grid schemes.- Improving visual quality for vector schemes.- Conclusion.

Dieses Ebook kaufen – und ein weitere GRATIS erhalten!
Sprache Englisch ● Format PDF ● Seiten 120 ● ISBN 9789811382895 ● Dateigröße 8.1 MB ● Verlag Springer Singapore ● Ort Singapore ● Land SG ● Erscheinungsjahr 2019 ● herunterladbar 24 Monate ● Währung EUR ● ID 7028926 ● Kopierschutz Soziales DRM

Ebooks vom selben Autor / Herausgeber

13.681 Ebooks in dieser Kategorie