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Proceedings ArticleDOI

Improved watermark extraction using dynamic stochastic resonance

TL;DR: A very robust extraction of watermark can be done without trading-off with visual quality of the watermarked image and when compared with the plain DCT-based technique, the proposed DSR-based DCT technique has been found to give better performance.
Abstract: In this paper, a dynamic stochastic resonance (DSR)-based blind watermark extraction technique has been proposed for robust extraction of a binary watermark. The watermark embedding has been done in mid-band DCT coefficients using well-known PN sequences. Dynamic stochastic resonance has been strategically used to improve the robustness of the extraction algorithm by utilizing the added noise (or degradation) during attacks itself. DSR is a converging iterative process that tunes the coefficients of the possibly attacked image so that effect of noise is suppressed and hidden information is enhanced. Resilience of this technique has been tested in the presence of various attacks such as noise attacks, geometrical distortions, enhancement, compression and filtering. A simple optimization procedure has been adopted for the selection of bistable double-well system parameters in the DSR step so to achieve maximum correlation coefficient under minimum computational complexity. Using the proposed adaptive DSR-based extraction technique, a very robust extraction of watermark can be done without trading-off with visual quality of the watermarked image. When compared with the plain DCT-based technique, the proposed DSR-based DCT technique has been found to give better performance.
Citations
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Journal ArticleDOI
TL;DR: A novel binary image enhancement scheme based on aperiodic SR (ASR) technique is proposed and simulation results show that the proposed method is superior to the traditionalbinary image enhancement methods both in visual effect and PSNR performance.
Abstract: The enhancement of noisy images has been playing a key role in improving the visual effect and the performance of image processing. Traditional methods for image enhancement are mainly focusing on eliminating noise, which cannot acquire good effect under low peak-signal-to-noise ratio (PSNR) conditions. Stochastic resonance (SR), on the contrary, is a technique using noise to enhance signal. Owing to the unique feature of SR, a novel binary image enhancement scheme based on aperiodic SR (ASR) technique is proposed. In this study, the authors take the improvement in PSNR as a measure of the ASR-based binary image enhancement system, which provides a guideline for the realisation of the ASR system. On this basis, they obtain the PSNR expression of the ASR-based binary image enhancement system. Simulation results show that the proposed method is superior to the traditional binary image enhancement methods both in visual effect and PSNR performance.

21 citations

Journal ArticleDOI
TL;DR: A novel dynamic stochastic resonance (DSR)-based technique for robust extraction of a grayscale logo from a tampered watermarked image and suggests that remarkable improvement of robustness is achieved by using DSR on singular values of DCT.
Abstract: This paper presents a novel dynamic stochastic resonance (DSR)-based technique for robust extraction of a grayscale logo from a tampered watermarked image. The watermark embedding is done on the singular values (SV) of the discrete cosine transform (DCT) coefficients of the cover image. DSR is then strategically applied during the logo extraction process where the SV of DCT coefficients are tuned following a double-well potential model by utilizing the noise introduced during attacks. The resilience of this technique has been tested in the presence of various noises, geometrical distortions, enhancement, compression, filtering and watermarking attacks. The proposed DSR-based technique for logo extraction gives noteworthy robustness without any significant trade-off in perceptual transparency of the watermarked image. A maximization approach has been adopted for the selection of bistable double-well parameters to establish noise-enhanced resonance. When compared with existing watermark extraction techniques based in SVD, DCT, SVD-DCT domains, as well as with their combination with DSR, the results suggest that remarkable improvement of robustness is achieved by using DSR on singular values of DCT.

15 citations

References
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Book
01 Jan 2008
TL;DR: In this article, a theoretical approach based on linear response theory (LRT) is described, and two new forms of stochastic resonance, predicted on the basis of LRT and subsequently observed in analogue electronic experiments, are described.
Abstract: Stochastic resonance (SR) - a counter-intuitive phenomenon in which the signal due to a weak periodic force in a nonlinear system can be {\it enhanced} by the addition of external noise - is reviewed A theoretical approach based on linear response theory (LRT) is described It is pointed out that, although the LRT theory of SR is by definition restricted to the small signal limit, it possesses substantial advantages in terms of simplicity, generality and predictive power The application of LRT to overdamped motion in a bistable potential, the most commonly studied form of SR, is outlined Two new forms of SR, predicted on the basis of LRT and subsequently observed in analogue electronic experiments, are described

2,403 citations

Journal ArticleDOI
TL;DR: A new watermarking algorithm is presented: the method, which operates in the frequency domain, embeds a pseudo-random sequence of real numbers in a selected set of DCT coefficients, which is adapted to the image by exploiting the masking characteristics of the human visual system, thus ensuring the watermark invisibility.

743 citations

Proceedings ArticleDOI
F.M.H. Schuurmans1
07 Jan 2002
TL;DR: Digital watermarking, a technology for insertion of imperceptible information into multimedia content offers a solution for authentication and suitable action thereof, which is a rapidly maturing technology.
Abstract: Summary form only given. The ability to represent audio and video digitally and its vast popularity poses enormous challenges in protection against unauthorized use, copy and distribution in open, highly uncontrolled Internet environment. Digital watermarking, a technology for insertion of imperceptible information into multimedia content offers a solution for authentication and suitable action thereof. This is a rapidly maturing technology. Initiatives within the industry are ongoing for various forms of multimedia. Technology alone is unlikely to address all the copy protection issues. Business models and legal support also play an important role in tackling them.

611 citations

Journal ArticleDOI
TL;DR: This paper presents a robust image watermarking scheme for multimedia copyright protection that is more secure and robust to various attacks, viz., JPEG2000 compression, JPEG compression, rotation, scaling, cropping, row-column blanking, rows-column copying, salt and pepper noise, filtering and gamma correction.
Abstract: This paper presents a robust image watermarking scheme for multimedia copyright protection. In this work, host image is partitioned into four sub images. Watermark image such as ‘logo’ is embedded in the two of these sub images, in both D (singular and diagonal matrix) and U (left singular and orthogonal matrix) components of Singular Value Decomposition (SVD) of two sub images. Watermark image is embedded in the D component using Dither quantization. A copy of the watermark is embedded in the columns of U matrix using comparison of the coefficients of U matrix with respect to the watermark image. If extraction of watermark from D matrix is not complete, there is a fair amount of probability that it can be extracted from U matrix. The proposed algorithm is more secure and robust to various attacks, viz., JPEG2000 compression, JPEG compression, rotation, scaling, cropping, row-column blanking, row-column copying, salt and pepper noise, filtering and gamma correction. Superior experimental results are observed with the proposed algorithm over a recent scheme proposed by Chung et al. in terms of Bit Error Rate (BER), Normalized Cross correlation (NC) and Peak Signal to Noise Ratio (PSNR).

86 citations