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Digital Watermarking Techniques in Curvelet and Ridgelet Domain / by Channapragada Rama Seshagiri Rao, Munaga V.N.K. Prasad.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Rao, Channapragada Rama Seshagiri, author.
Prasad, Munaga V. N. K., 1971- author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
SpringerBriefs in computer science 2191-5768
SpringerBriefs in Computer Science, 2191-5768
Language:
English
Subjects (All):
Data encryption (Computer science).
Optical data processing.
Multimedia systems.
Cryptology.
Image Processing and Computer Vision.
Multimedia Information Systems.
Local Subjects:
Cryptology.
Image Processing and Computer Vision.
Multimedia Information Systems.
Physical Description:
1 online resource (XVIII, 92 pages) : 79 illustrations, 32 illustrations in color.
Edition:
First edition 2016.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
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.
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.
Other Format:
Printed edition:
ISBN:
978-3-319-32951-2
9783319329512
Access Restriction:
Restricted for use by site license.

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