Improving Image Quality in Visual Cryptography

  • Bin Yan
  • Yong Xiang
  • Guang Hua

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

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Bin Yan, Yong Xiang, Guang Hua
    Pages 1-14
  3. Bin Yan, Yong Xiang, Guang Hua
    Pages 15-33
  4. Bin Yan, Yong Xiang, Guang Hua
    Pages 35-53
  5. Bin Yan, Yong Xiang, Guang Hua
    Pages 55-73
  6. Bin Yan, Yong Xiang, Guang Hua
    Pages 75-95
  7. Bin Yan, Yong Xiang, Guang Hua
    Pages 97-116
  8. Bin Yan, Yong Xiang, Guang Hua
    Pages 117-120

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 engineering intuition 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.


Data Decryption Cryptosystem Privacy Protection Radially Averaged Power Spectrum Density (RAPSD) Visual Cryptography Algorithms Binary Secret Images Digital Halftoning Vector Visual Cryptography Analysis-by-Synthesis (AbS) framework Grayscale Secret Images

Authors and affiliations

  • Bin Yan
    • 1
  • Yong Xiang
    • 2
  • Guang Hua
    • 3
  1. 1.College of Electronics, Communication and PhysicsShandong University of Science and TechnologyQingdaoChina
  2. 2.School of Information TechnologyDeakin UniversityMelbourneAustralia
  3. 3.School of Electronic InformationWuhan UniversityWuhanChina

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-13-8288-8
  • Online ISBN 978-981-13-8289-5
  • Series Print ISSN 1860-4862
  • Series Online ISSN 1860-4870
  • Buy this book on publisher's site
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