Region based QIM digital watermarking scheme for image database in DCT domain

Digital watermarking has become an essential and important tool for copyright protection, authentication, and security of multimedia contents. It is the process of embedding a watermark in the multimedia content and its extraction. Block-based discrete cosine transform (DCT) is a widely used method in digital watermarking. This paper proposes a novel blind image watermarking scheme developed in the spatial domain by quantization of invariant direct current (DC) coefficients. The cover image is redistributed and divided into non-overlapped square blocks and then the DC coefficients invariant to rotation, row and column flip operations, without utilization of the DCT transform, are directly calculated in the spatial domain. Utilizing the quantization parameter and watermark information, the modified DC coefficients and the difference between DC and modified DC coefficients are calculated to directly modify the pixel values to embed watermark bits in the spatial domain instead of the DCT domain. Optimal values of the quantization parameter, which plays a significant role in controlling the tradeoff between robustness and invisibility, are calculated through differential evolution (DE), the optimization algorithm. Experimental results, compared with the latest similar schemes, demonstrate the advantages of the proposed scheme.

Download Full-text

A New Scheme of Neural Network and DCT-Domain Based Digital Watermarking

International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore ◽

10.15242/iie.e0314147 ◽

2014 ◽

Keyword(s):

Neural Network ◽

Digital Watermarking ◽

Dct Domain

Download Full-text

Evaluvation of Multiresolution Watermarking Algorithm

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i8.29 ◽

2017 ◽

Vol 7 (8) ◽

pp. 85

Author(s):

S. Thabasu Kannan ◽

S. Azhagu Senthil

Keyword(s):

Digital Watermarking ◽

Wavelet Transformation ◽

Signal To Noise Ratio ◽

Rapid Development ◽

Threshold Value ◽

Discrete Wavelet ◽

Digital Production ◽

Common Framework ◽

Sampling Operation ◽

Watermarking Scheme

Now-a-days watermarking plays a pivotal role in most of the industries for providing security to their own as well as hired or leased data. This paper its main aim is to study the multiresolution watermarking algorithms and also choosing the effective and efficient one for improving the resistance in data compression. Computational savings from such a multiresolution watermarking framework is obvious. The multiresolutional property makes our watermarking scheme robust to image/video down sampling operation by a power of two in either space or time. There is no common framework for multiresolutional digital watermarking of both images and video. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing. The rapid development of Internet introduces a new set of challenging problems regarding security. One of the most significant problems is to prevent unauthorized copying of digital production from distribution. Digital watermarking has provided a powerful way to claim intellectual protection. We proposed an idea for enhancing the robustness of extracted watermarks. Watermark can be treated as a transmitted signal, while the destruction from attackers is regarded as a noisy distortion in channel. For the implementation, we have used minimum nine coordinate positions. The watermarking algorithms to be taken for this study are Corvi algorithm and Wang algorithm. In all graph, we have plotted X axis as peak signal to noise ratio (PSNR) and y axis as Correlation with original watermark. The threshold value ά is set to 5. The result is smaller than the threshold value then it is feasible, otherwise it is not.

Download Full-text

Digital Watermarking Under DCT Domain According To Image Types

10.34279/0923-009-004-003 ◽

2019 ◽

pp. 30

Author(s):

حسين عبد هلال

Keyword(s):

Digital Watermarking ◽

Dct Domain

Download Full-text

Wavelet Based Digital Watermarking Scheme for Medical Images

2020 12th International Conference on Computational Intelligence and Communication Networks (CICN) ◽

10.1109/cicn49253.2020.9242626 ◽

2020 ◽

Author(s):

Mukesh Soni ◽

Dileep Kumar

Keyword(s):

Digital Watermarking ◽

Medical Images ◽

Watermarking Scheme

Download Full-text

A DCT-Domain System for Digital Watermarking

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.321-324.2609 ◽

2013 ◽

Vol 321-324 ◽

pp. 2609-2612

Author(s):

Yan Liang ◽

Gao Yan ◽

Chun Xia Qi

Keyword(s):

Signal Processing ◽

Digital Watermarking ◽

Copyright Protection ◽

Random Sequence ◽

Multimedia Data ◽

Dct Domain ◽

Digital Document ◽

Dct Coefficients ◽

Processing Techniques ◽

Signal Processing Techniques

Digital watermarking has been proposed as a solution to the problem of copyright protection of multimedia data in a networked environment. It makes possible to tightly associated to a digital document a code allowing the identification of the data creator, owner, authorized consumer, and so on. In this paper a new DCT-domain system for digital watermarking algorithm for digital images is presented: the method, which operates in the frequency domain, embeds a pseudo-random sequence of scrambled image in a selected set of DCT coefficients. After embedding, the watermark is adapted to the image by exploiting the masking characteristics of the human visual system, thus ensuring the watermark invisibility. By exploiting the statistical properties of the embedded sequence, the mark can be reliably extracted without resorting to the original uncorrupted image. Experimental results demonstrate that the watermark is robust to several signal processing techniques, including JPEG compression, cut, fuzzy, addition of noise, and sharpen.

Download Full-text