Invisibility and application functionalities in perceptual watermarking an overview

Vleeschouwer, Christophe De; Delaigle, Jean-François; Macq, Benoît

doi:10.1109/5.982406

Cited by 134 publications

(58 citation statements)

References 113 publications

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“…The greater parts of the researches embed the watermark in the frequency domain with the purpose improving the robustness [10]. The Discrete Cosine Transform (DCT), the Discrete Wavelet Transform (DWT), the Discrete Fourier Transform (DFT), Discrete Hadamard Transform (DHT), etc are the diverse transformations employed extensively in as substitute for the spatial domain [12], [13]. The computation efficiency of DWT is the inspiration behind its prevalent engagement in the transformation of an image from spatial domain to frequency domain.…”

Section: Introductionmentioning

confidence: 99%

“…The watermark embedded on textures possesses good robustness to general image processing and other attacks because of the exceptional responses of the HVS on textures. A HVS based invisible watermarking technique is developed based on this knowledge [12], [19].…”

Section: Introductionmentioning

confidence: 99%

“…Copious numbers of HVS models have been developed for attaining the objectives of quality assessment or image compression [31]. In addition, digital watermarking of images can be achieved by employing similar visual models.…”

Section: Uman Visual System (Hvs) In Watermarkingmentioning

confidence: 99%

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An Effective Wavelet-Based Watermarking Scheme Using Human Visual System for Protecting Copyrights of Digital Images

Reddy¹,

Varadarajan²

2010

IJCEE

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Abstract-The modern era of information technology facilitates easy duplication, manipulation and distribution of digital data. This has demanded the certainty for effectively safe guarding the rightful ownership of digital images. Copyright protection and content authentication of digital images have emerged as an imperative concern to content owners and distributors. Digital watermarking provided a potential solution to this issue. The watermarking scheme must possess the characteristics of robustness and imperceptibility to ensure efficient copyright protection. An effective copyright protection is achieved by the incorporation of Human Visual System (HVS) models into watermarking scheme. Recently, interest in watermarking researches are chiefly fascinated by wavelet domain based watermarking schemes. In our earlier work, we have presented an imperceptible and efficient wavelet-based watermarking scheme for protecting the copyrights of images. Here, we have offered a proficient watermarking scheme by effecting some changes to our earlier work. The presented scheme for watermarking incorporates the HVS models into watermark embedding. The biorthogonal wavelet transform with lifting scheme is utilized in the watermarking. The image components for embedding are selected based on the entropy masking. A random matrix is generated on the basis of a key image and is engaged in both embedding and extraction processes. The correlation coefficient computation is made use of in the extraction of watermark. The experimental results illustrate the robustness and imperceptibility of the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Effective Wavelet-Based Watermarking Scheme Using Human Visual System for Protecting Copyrights of Digital Images

Reddy¹,

Varadarajan²

2010

IJCEE

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“…Anyone having access to those forums can copy those information as perfect duplicate of the originals due to the very nature of the digital media [1]. The question is, how does someone can claim the ownership of his/her creation in digital media when multiple persons can have the exact copies?…”

Section: Introductionmentioning

confidence: 99%

DHT domain digital watermarking with low loss in image informations

Maity

Kundu

2010

AEU - International Journal of Electronics and Communications

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The paper proposes a digital image watermarking scheme that selects regions for data embedding based on information measure. Two valued kernels of Hadamard transformation cause smaller image information change during embedding compared to other transform domains such as DCT (discrete cosine transform), DFT (discrete Fourier transform), Fourier-Mellin and wavelet-based embedding. Moreover, the usage of Hadamard transform as signal decomposition tool offers advantages in terms of simpler implementation, low computation cost and high resiliency at low quality compression considering both JPEG and JPEG 2000 framework. Compression resiliency is further improved using adaptive negative modulation. These facts are validated comparing the performance with some other existing watermarking schemes as well as DCT domain implementation of the proposed scheme.

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“…This is because of the fact that anyone having access to those forums can copy those information in unlimited numbers and without any loss. Digital watermarking technique, over the last decade, is being used widely as a solution to the kind of problem by imperceptible embedding of an auxiliary message in the multimedia signals [1] [2].…”

Section: Introductionmentioning

confidence: 99%