000 03597nam a22005055i 4500
001 978-3-319-32951-2
003 DE-He213
005 20200420220216.0
007 cr nn 008mamaa
008 160520s2016 gw | s |||| 0|eng d
020 _a9783319329512
_9978-3-319-32951-2
024 7 _a10.1007/978-3-319-32951-2
_2doi
050 4 _aQA76.9.A25
072 7 _aURY
_2bicssc
072 7 _aCOM053000
_2bisacsh
082 0 4 _a005.82
_223
100 1 _aRao, Channapragada Rama Seshagiri.
_eauthor.
245 1 0 _aDigital Watermarking Techniques in Curvelet and Ridgelet Domain
_h[electronic resource] /
_cby Channapragada Rama Seshagiri Rao, Munaga V.N.K. Prasad.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXVIII, 92 p. 79 illus., 32 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5768
505 0 _aIntroduction -- 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 _aThis 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.
650 0 _aComputer science.
650 0 _aData encryption (Computer science).
650 0 _aMultimedia information systems.
650 0 _aImage processing.
650 1 4 _aComputer Science.
650 2 4 _aData Encryption.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aMultimedia Information Systems.
700 1 _aPrasad, Munaga V.N.K.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319329505
830 0 _aSpringerBriefs in Computer Science,
_x2191-5768
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-32951-2
912 _aZDB-2-SCS
942 _cEBK
999 _c51642
_d51642