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Digital watermarking techniques in curvelet and ridgelet domain

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Digital watermarking techniques in curvelet and ridgelet domain/ by Channapragada Rama Seshagiri Rao, Munaga V.N.K. Prasad.
Author:	Rao, Channapragada Rama Seshagiri.
other author:	Prasad, Munaga V.N.K.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xviii, 92 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Digital watermarking. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-32951-2
ISBN:	9783319329512

Digital watermarking techniques in curvelet and ridgelet domain
Rao, Channapragada Rama Seshagiri.

Digital watermarking techniques in curvelet and ridgelet domain[electronic resource] /by Channapragada Rama Seshagiri Rao, Munaga V.N.K. Prasad. - Cham :Springer International Publishing :2016. - xviii, 92 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

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.

ISBN: 9783319329512

Standard No.: 10.1007/978-3-319-32951-2doiSubjects--Topical Terms:

559282
Digital watermarking.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 006.6

Digital watermarking techniques in curvelet and ridgelet domain
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245 1 0 $a Digital watermarking techniques in curvelet and ridgelet domain $h [electronic resource] / $c by Channapragada Rama Seshagiri Rao, Munaga V.N.K. Prasad.
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300 $a xviii, 92 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
505 0 $a 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.
520 $a 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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