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001			85966
003			ES-MaUEC
005			20230207040536.0
007			cr nn 008mamaa
008			160520s2016 gw a s 001 0 eng d
020			_a9783319329512
024	7		_a10.1007/978-3-319-32951-2 _2doi
040			_aES-MaUEC
050		4	_aQA76.9.A25 _bR36 2016 EB
082	0	4	_a005.82
100	1		_aRao, Channapragada Rama Seshagiri _999319 _0Local
245	1	0	_aDigital Watermarking Techniques in Curvelet and Ridgelet Domain _cby Channapragada Rama Seshagiri Rao, Munaga VNK Prasad
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XVIII, 92 p.) _b79 ilustraciones, 32 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
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	3		_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.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aSeguridad informática _0comprobar BNE20010505695 _2embne _9158200
650		7	_aCriptografía (Informática) _0comprobar BNE20010505729 _2embne _9158201
700	1		_aPrasad, Munaga V.N.K. _999320 _0Local
830		0	_aSpringerBriefs in Computer Science _x2191-5768 _9134081
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-32951-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319329512
907			_a.b12952448 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b23-09-17 _cm _dz _ei _feng _ggw _h0
945			_aQA76.9 .A25 R36 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11595139 _z06-04-17
999			_c85966 _d85966 _x1