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Digital Watermarking Techniques in Curvelet and Ridgelet Domain / by Channapragada Rama Seshagiri Rao, Munaga VNK Prasad

By: Rao, Channapragada Rama Seshagiri
Contributor(s): SpringerLink (Online service) | Prasad, Munaga V.N.K.
Material type: materialTypeLabelE-bookSeries: SpringerBriefs in Computer SciencePublisher: Cham : Springer International Publishing, 2016Description: 1 recurso en línea (XVIII, 92 p.) : 79 ilustraciones, 32 ilustraciones en color.ISBN: 9783319329512.Subject: Seguridad informática | Criptografía (Informática)DDC classification: 005.82 Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Color Image Watermarking Using Magic Square and Curvelet Based Technique -- Color Still Image Watermarking Using Magic Square and Ridgelet Based Technique -- Color Image Watermarking Using Fractals and Curvelets -- Conclusions and Future Scope.
Abstract: 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.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9 .A25 R36 2016 EB (Browse shelf(Opens below)) .i11595139 Acceso electrónico eBOOK .i11595139
Total holds: 0

Introduction -- Color Image Watermarking Using Magic Square and Curvelet Based Technique -- Color Still Image Watermarking Using Magic Square and Ridgelet Based Technique -- Color Image Watermarking Using Fractals and Curvelets -- Conclusions and Future Scope.

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.

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