Design of digital watermarking algorithm based on wavelet transform

Lee, Hua; Hu, Boning; Zhao, Ran; Hou, Yanli

doi:10.1109/icmlc.2010.5580639

Cited by 2 publications

(4 citation statements)

References 3 publications

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“…The DWT is a mathematical transformation that takes a signal and transforms it from spatial domain into frequency domain. It efficiently decomposes an image into multi-resolution sub-bands and has the characteristics that energy compacts into a few low transform coefficients after the wavelet transform [17].…”

Section: Previous Workmentioning

confidence: 99%

“…Although embedded watermark in this part can obtain a good robustness, but the watermark transparency will be significantly reduced. In normal circumstances, the watermark should be embedded in the second or third level of wavelet coefficients which has medium frequency characteristics in order to meet transparency and robustness requirements of the digital watermark [17]. In our method we transform image into third level of discrete wavelet decomposition.…”

Section: Mems Nano and Smart Systemsmentioning

confidence: 99%

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A New Approach in Digital Image Watermarking Using Fractal Model in DWT Domain

Shahraeini

Yaghoobi

2011

AMR

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The recent progress in the digital multimedia technologies has offered many facilities in the transmission, reproduction and manipulation of data. However, this advance has also brought the problem such as copyright protection for content providers. Digital watermarking is one of the proposed solutions for copyright protection of multimedia. This paper proposes a blind watermarking algorithm based on fractal model in discrete wavelet domain for copyright protection. The idea of the presented scheme is to hide a binary image as a watermark with fractal parameters in wavelet domain of host image. Fractal compression technique is used to encode a gray image and fractal codes are embedded into the wavelet coefficients of the gray image according to well-connected watermark algorithm. The experimental results show that the algorithm is robust against geometric and non geometric attacks.

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Section: Previous Workmentioning

confidence: 99%

Section: Mems Nano and Smart Systemsmentioning

confidence: 99%

A New Approach in Digital Image Watermarking Using Fractal Model in DWT Domain

Shahraeini

Yaghoobi

2011

AMR

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“…Semi-blind algorithms [41] require secret keys and a watermark bit sequence. By analogy, blind algorithms (such as [11,26]) do not require additional elements for decoding processing.…”

Section: Introductionmentioning

confidence: 99%

“…Because of the fact that it is easier to obtain a high algorithm robustness in the transform domain, this type of algorithms is more popular compared to spatial algorithms. Among numerous proposed methods one may notice the large number of algorithms in the DCT [10,29,32] and DWT [4,26,47,51] domains (because of the fact that most popular lossy compression standards-JPEG and JPEG2000 operates in DCT and DWT). Also two transforms are used, e.g.…”

Section: Introductionmentioning

confidence: 99%

Parallel blind digital image watermarking in spatial and frequency domains

Lenarczyk

Piotrowski

2013

Telecommun Syst

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The protection of copyrights of digital images authors is one of the most important tasks set before watermarking. What is especially important is to ensure the high robustness of a watermarked images against attacks, preventing the reading of additional information about the author. In addition, the used processing of the original image must be absolutely invisible. The presented algorithm embeds information in a parallel way-independently of the luminance and chrominance matrices in the spatial and frequency domains. The main factor motivating the use of a parallel watermark embedding via the proposed way was the mutual complementing of robustness, offered by processing in spatial and frequency domains. Additional information is recovered in a 2D cepstrum domain and in coefficients of the cosine transform. The article shows a description of a mathematical model, tests of invisibility, effectiveness and the robustness of the method were carried out. The robustness of the algorithm was shown against the following attacks: JPEG and JPEG2000 lossy compression, noise, median filtering, Low-Pass and High-Pass filtering, desynchronization, simple and inverse D/A conversion, majority cropping, photomontage and affine transforms-rotation, scaling, shearing, translation.

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Design of digital watermarking algorithm based on wavelet transform

Cited by 2 publications

References 3 publications

A New Approach in Digital Image Watermarking Using Fractal Model in DWT Domain

A New Approach in Digital Image Watermarking Using Fractal Model in DWT Domain

Parallel blind digital image watermarking in spatial and frequency domains

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