Digital image watermarking using DWT basis matrices

Gorbachev, V. N.; Kaynarova, Elena; Макаров, А. А.; Yakovleva, E. S.

doi:10.23919/fruct.2017.8250174

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…The pixel-based watermarking techniques easily cracked and theft. The pixel-based watermarking algorithm works on LSB and MSB bit of digital data [5][6][7]. The visual content of watermark also faced a problem of quality in the scenario of this algorithm.…”

Section: Introductionmentioning

confidence: 99%

Mitigation of Geometrical Attack in Digital Image Watermarking using Different Transform Based Functions

Rai¹,

Goyal²,

Pawar³

2019

IJITEE

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The illegal act of digital multimedia data loss the value of information and integrity. The loss of information and integrity born the process of piracy of digital data. The piracy of digital data loss the brand value of documents and products. For the prevention of piracy used the digital watermarking technique. The digital watermarking techniques provide copyright protection and increase the value of brands — Watermarking techniques used in various fields such as image, video, audio, and text. The process of watermarking techniques proceeds in two manners spatial domain and frequency domain. The processing of frequency based watermarking techniques is roughest and fast processing of watermarking. Now in the current scenario, various transform function is used for the embedding process of watermarking techniques. In this approach present the studied of digital watermarking techniques based-on different transform function such as DCT, DWT, FFT, and many more transform function. The transform function based watermarking techniques faced a problem of geometrical attack. The Geometrical attack deforms the watermark and gets information. The prevention of watermarking techniques against the Geometrical attacks is a big challenge for the researcher in the field of digital watermarking.

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Section: Introductionmentioning

confidence: 99%

Mitigation of Geometrical Attack in Digital Image Watermarking using Different Transform Based Functions

Rai¹,

Goyal²,

Pawar³

2019

IJITEE

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“…Nevertheless these algorithms can be used to calculate wavelet basis images. So it was found for various wavelets that the basis has a block structure similar to DWT coefficients [6]. Basis images may be considered as items of a matrix.…”

Section: Introductionmentioning

confidence: 99%

On basis images for the digital image representation

Gorbachev,

Denisov,

Kaynarova

et al. 2019

Preprint

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Digital array orthogonal transformations that can be presented as a decomposition over basis items or basis images are considered. The orthogonal transform provides digital data scattering, a process of pixel energy redistributing, that is illustrated with the help of basis images. Data scattering plays important role for applications as image coding and watermarking. We established a simple quantum analogues of basis images. They are representations of quantum operators that describe transition of single particle between its states. Considering basis images as items of a matrix, we introduced a block matrix that is suitable for orthogonal transforms of multi-dimensional arrays such as block vector, components of which are matrices. We present an orthogonal transform that produces correlation between arrays. Due to correlation new feature of data scattering was found. A presented detection algorithm is an example of how it can be used in frequency domain watermarking.

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