2014 IEEE International Advance Computing Conference (IACC) 2014
DOI: 10.1109/iadcc.2014.6779483
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Analysis of wavelet and contourlet transform based image watermarking techniques

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Cited by 3 publications
(4 citation statements)
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“…Since the late 1980s Wavelet analysis theory has become internationally very active area of research, it has been widely used in image processing, oil exploration, data compression, CT imaging, fractal geometry, and many other fields [7][8][9].…”
Section: )Wavelet Transform Processing Of the Imagementioning
confidence: 99%
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“…Since the late 1980s Wavelet analysis theory has become internationally very active area of research, it has been widely used in image processing, oil exploration, data compression, CT imaging, fractal geometry, and many other fields [7][8][9].…”
Section: )Wavelet Transform Processing Of the Imagementioning
confidence: 99%
“…Since the late 1980s Wavelet analysis theory has become internationally very active area of research, it has been widely used in image processing, oil exploration, data compression, CT imaging, fractal geometry, and many other fields [7][8][9]. Suppose Vj is the given multi-scale analysis, φ and ψ are the corresponding scaling function and wavelet function, for a given discrete signal {Sk, k ∈ Z} ∈ V0 (here the corresponding resolution is j = 0), the expansion translation system of V0 space is {φj, k, k ∈ Z}, we can construct a function f (u) ∈ V0 inV0 space ,…”
Section: )Wavelet Transform Processing Of the Imagementioning
confidence: 99%
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“…In this regard, watermarking algorithms based on different transform domains such as the DFT (Discrete Fourier Transform) [6], DCT (Discrete Cosine transform) [7], DWT(Discrete Wavelet Transform) [8], Contourlet Transform [9] and others have been proposed [10]. ORuanaidh et al [11] initially proposed in the use of DFT phase for watermarking.…”
Section: Introductionmentioning
confidence: 99%