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Digital Watermarking Techniques in Curvelet and Ridgelet Domain

  • Book
  • © 2016

Overview

Authors:
  1. Channapragada Rama Seshagiri Rao

    1. Department of CSE, CMR Institute of Technology, Hyderabad, India

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  2. Munaga V.N.K. Prasad

    1. Ins for Dev and Res in Bank Tech, Hyderabad, India

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Introduction

    • Channapragada Rama Seshagiri Rao, Munaga V. N. K. Prasad
    Pages 1-25

  3. Color Image Watermarking Techniques Based on Magic Square and Curvelets

    • Channapragada Rama Seshagiri Rao, Munaga V. N. K. Prasad
    Pages 27-57

  4. Color Image Watermarking Techniques Based on Magic Square and Ridgelets

    • Channapragada Rama Seshagiri Rao, Munaga V. N. K. Prasad
    Pages 59-74

  5. Digital Watermarking Using Fractals

    • Channapragada Rama Seshagiri Rao, Munaga V. N. K. Prasad
    Pages 75-89

  6. Conclusions and Future Scope

    • Channapragada Rama Seshagiri Rao, Munaga V. N. K. Prasad
    Pages 91-92
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Keywords

About this book

This book describes the design, development, and testing of a novel digital watermarking technique for color images using Magic Square and Ridgelet transforms. The novel feature of the method is that it generates and uses multiple copies of the digital watermark.  The book describes how the method was tested for embedding digital watermarks into color cover images, resulting in very high PSNR value and yielding comparable results with existing watermarking techniques.
To reach this new method, eight different techniques are designed, developed and tested. First, the authors test two digital watermarking techniques based on encryption: Image Watermark Using Complete Complementary Code Technique (CCCT) and Image Watermarking Using CCC-Fast Walsh Hadamard Transform Technique (CCC-FWHTT). 
Next, four digital watermarking techniques based on curvelet transforms are discussed: Image Watermarking Using Curvelet Transform (WCT), Watermark Wavelets in Curvelets of Cover Image (WWCT), Resized Watermark into Curvelets of Cover Image (RWCT),  and Resized Watermark Wavelets into Curvelets of Cover Image (RWWCT). 
Then, two final techniques are presented: Image Watermarking Based on Magic Square (MST) and Image watermarking based on Magic Square and Ridgelet Transform (MSRTT). Future research directions are explored in the final chapter.
Designed for professionals and researchers in computer graphics and imaging, Digital Watermarking Techniques in Curvelet and Ridgelet Domain is also a useful tool for advanced-level students.


Authors and Affiliations

  • Department of CSE, CMR Institute of Technology, Hyderabad, India

    Channapragada Rama Seshagiri Rao

  • Ins for Dev and Res in Bank Tech, Hyderabad, India

    Munaga V.N.K. Prasad

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