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Improving Image Quality in Visual Cryptography

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  • © 2020

Overview

  • Focuses on the topic of perceptual quality in visual cryptography
  • Comprehensively reviews and discusses perceptual quality improvement of decrypted gray scale secret images
  • Employs quality measures such as RAPSD for halftone image, to guide gray scale visual cryptography design

Part of the book series: Signals and Communication Technology (SCT)

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Table of contents (7 chapters)

Keywords

About this book

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.


Authors and Affiliations

  • College of Electronics, Communication and Physics, Shandong University of Science and Technology, Qingdao, China

    Bin Yan

  • School of Information Technology, Deakin University, Melbourne, Australia

    Yong Xiang

  • School of Electronic Information, Wuhan University, Wuhan, China

    Guang Hua

Bibliographic Information

  • Book Title: Improving Image Quality in Visual Cryptography

  • Authors: Bin Yan, Yong Xiang, Guang Hua

  • Series Title: Signals and Communication Technology

  • DOI: https://doi.org/10.1007/978-981-13-8289-5

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2020

  • Hardcover ISBN: 978-981-13-8288-8Published: 24 June 2019

  • Softcover ISBN: 978-981-13-8291-8Published: 14 August 2020

  • eBook ISBN: 978-981-13-8289-5Published: 08 June 2019

  • Series ISSN: 1860-4862

  • Series E-ISSN: 1860-4870

  • Edition Number: 1

  • Number of Pages: XVIII, 120

  • Number of Illustrations: 61 b/w illustrations, 13 illustrations in colour

  • Topics: Signal, Image and Speech Processing, Cryptology, Visualization

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