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

Series: SpringerBriefs in Computer Science;

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Product details:

Edition number 1st ed. 2016
Publisher Springer International Publishing
Date of Publication 27 May 2016
Number of Volumes 1 pieces, Book

ISBN 9783319329505
Binding Paperback
No. of pages92 pages
Size 235x155 mm
Weight 1825 g
Language English
Illustrations XVIII, 92 p. 79 illus., 32 illus. in color. Illustrations, black & white

Categories

Theory of computing, computing in general System analysis, system planning Data management in computer systems Computer Graphics Softwares Artificial Intelligence Privacy, data security Computing's and information technology's impact on society Other integrated software packages Further readings in the field of computing Theory of computing, computing in general (charity campaign) System analysis, system planning (charity campaign) Data management in computer systems (charity campaign) Computer Graphics Softwares (charity campaign) Artificial Intelligence (charity campaign) Privacy, data security (charity campaign) Computing's and information technology's impact on society (charity campaign) Other integrated software packages (charity campaign) Further readings in the field of computing (charity campaign)

Long description:

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.