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Book ChapterDOI

Improved Watermark Extraction from Audio Signals by Scaling of Internal Noise in DCT Domain

TL;DR: Comparison with the existing DCT, DWT and SVD techniques shows the better performance in terms of correlation coefficient and visual quality of extracted watermark.
Abstract: Scaling of internal noise in discrete cosine transform (DCT) domain has been presented for copyright protection of audio signals. Watermark as a logo is embedded into the most prominent peaks of the highest energy segment of the audio DCT coefficients. Tuning of the DCT coefficients of the watermarked signal by noise-induced resonance improves the authenticity of the watermarked signal. This scaling is produced by noise-induced resonance, generally known as Dynamic stochastic resonance (DSR). DSR utilizes the noise introduced during different signal processing attacks and it induced here as an iterative process due to which the effect of noise is suppressed and hidden information is enhanced. Response of the proposed extraction scheme suggests increased robustness against various attacks such as noise addition, cropping, re-sampling, re-quantization, MP3 compression, and echo. Comparison with the existing DCT, DWT and SVD techniques shows the better performance in terms of correlation coefficient and visual quality of extracted watermark.
Citations
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Journal ArticleDOI
TL;DR: Qualitative and quantitative evaluation performed on the proposed segmentation method for reconstructing the liver surface in low contrast computed tomography show promising segmentation accuracy when compared with ground truth data reflecting the potential of the proposed method.

23 citations

Proceedings ArticleDOI
24 Nov 2017
TL;DR: Experimental results show that proposed method not only reduces the time complexity of tampering detection but also robust against different post-processing attacks such as blurring, brightness change, contrast adjustment etc.
Abstract: Copy-move is a popular image tampering technique, where one or more regions of an image are copied and pasted into another portion of the same image with an objective to cover a conceivably important region or duplicate some regions. In this paper, a block-based blind technique for copy-move tampering detection is given by extracting Local Binary Pattern Histogram Fourier Features from each overlapping block. Proposed method is tested on benchmarking CoMoFoD dataset. Experimental results show that proposed method not only reduces the time complexity of tampering detection but also robust against different post-processing attacks such as blurring, brightness change, contrast adjustment etc.

16 citations


Cites methods from "Improved Watermark Extraction from ..."

  • ...Watermark embedding and extraction procedures are given in [7, 8]....

    [...]

Proceedings ArticleDOI
24 Feb 2018
TL;DR: The proposed copy-move forgery detection system is based on SIFT key-points extraction and density-based clustering algorithm and is able to detect multiple forgeries present in the image.
Abstract: Due to excess uses of digital contents for communication and using image handling software and tools manipulation of these contents, detection of copy-move manipulation has become a prominent and interesting research area. The proposed copy-move forgery detection system is based on SIFT key-points extraction and density-based clustering algorithm. Extracted SIFT descriptors are matched using the generalized 2NN procedure. Thereafter, a density-based clustering algorithm is utilized to reduce or remove the false matches for improving detection accuracy. The proposed system is tested using MICC-F220, MICC-F2000 and MICC-F8multi, standard datasets. Due to the generalized 2NN matching procedure, the proposed system is able to detect multiple forgeries present in the image. Experimental results show the detection accuracy of the proposed system is more in comparison to existing systems and it is computationally efficient.

12 citations


Cites methods from "Improved Watermark Extraction from ..."

  • ...Watermark embedding and extraction procedures are given in [1, 2]....

    [...]

Journal ArticleDOI
TL;DR: Both qualitative and quantitative evaluation performed on liver data show promising segmentation accuracy when compared with ground truth data reflecting the potential of the proposed method.
Abstract: Liver segmentation continues to remain a major challenge, largely due to its intense complexity with surrounding anatomical structures (stomach, kidney, and heart), high noise level and lack of contrast in pathological computed tomography (CT) data We present an approach to reconstructing the liver surface in low contrast CT The main contributions are: (1) a stochastic resonance-based methodology in discrete cosine transform domain is developed to enhance the contrast of pathological liver images, (2) a new formulation is proposed to prevent the object boundary, resulting from the cellular automata method, from leaking into the surrounding areas of similar intensity, and (3) a level-set method is suggested to generate intermediate segmentation contours from two segmented slices distantly located in a subject sequence We have tested the algorithm on real datasets obtained from two sources, Hamad General Hospital and medical image computing and computer-assisted interventions grand challenge workshop Various parameters in the algorithm, such as w , Δt , z , α , μ , α 1 , and α 2 , play imperative roles, thus their values are precisely selected Both qualitative and quantitative evaluation performed on liver data show promising segmentation accuracy when compared with ground truth data reflecting the potential of the proposed method

4 citations

Proceedings ArticleDOI
03 May 2019
TL;DR: The DSR is an iterative process that tunes the coefficient of Radon transform so that the enhanced lines of the image may be obtained, and it significantly enhances the line feature of an image.
Abstract: The Radon transform is an important transform to detect line feature from the noisy image. Radon transform can transform two-dimensional images (with noisy or disturbed lines) into a domain of possible parameters of line, where each line in the image will give a peak position at the corresponding parameters of the line. It has led to many line detection applications within image processing, computer vision, earthquake engineering etc. When the lines are subjected to very high background noises, Radon transform alone is not so effective. Here, in this paper, we propose dynamic stochastic resonance (DSR) based Radon transform for weak line extraction. The DSR is an iterative process that tunes the coefficient of Radon transform so that we may get the enhanced lines of the image. We compare our proposed method with the results of the Gaussian low pass filter. The proposed technique adopts local adaptive processing, and it significantly enhances the line feature of an image. Experimental results are also given to show the effectiveness of the proposed method.

1 citations


Cites background from "Improved Watermark Extraction from ..."

  • ...A concept of dynamic stochastic resonance (DSR) that uses noise to improve the performance of a system has been used for different image and signal processing applications such as image enhancement [14], [15], edge detection [16], de-noising [17], encryption [18],and watermarking [19]– [22]....

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References
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Journal ArticleDOI
TL;DR: In this paper, it was shown that a dynamical system subject to both periodic forcing and random perturbation may show a resonance (peak in the power spectrum) which is absent when either the forcing or the perturbations is absent.
Abstract: It is shown that a dynamical system subject to both periodic forcing and random perturbation may show a resonance (peak in the power spectrum) which is absent when either the forcing or the perturbation is absent.

2,774 citations

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

Proceedings Article
01 Sep 1998
TL;DR: In this article, the authors proposed an audio watermarking method that uses a seed known only by the copyright owner to create the watermark signal to be embedded in the audio signal.
Abstract: The audio watermarking method presented below offers copyright protection to an audio signal by modifying its temporal characteristics. The amount of modification embedded is limited by the necessity that the output signal must not be perceptually different from the original one. The watermarking method presented here does not require the original signal for watermark detection. The watermark key is simply a seed known only by the copyright owner. This seed creates the watermark signal to be embedded. Watermark embedding depends also on the audio signal amplitude in a way that minimizes the audibility of the watermark signal. The embedded watermark is robust to MPEG audio coding, filtering, resampling and requantization.

555 citations

Journal ArticleDOI
TL;DR: The audio watermarking method presented below offers copyright protection to an audio signal by modifying its temporal characteristics by modifying the output signal by means of a seed created by the copyright owner.
Abstract: The audio watermarking method proposed in this paper offers copyright protection to an audio signal by time domain processing. The strength of audio signal modifications is limited by the necessity to produce an output signal that is perceptually similar to the original one. The watermarking method presented here does not require the use of the original signal for watermark detection. The watermark signal is generated using a key, i.e., a single number known only to the copyright owner. Watermark embedding depends on the audio signal amplitude and frequency in a way that minimizes the audibility of the watermark signal. The embedded watermark is robust to common audio signal manipulations like MPEG audio coding, cropping, time shifting, filtering, resampling, and requantization.

491 citations

Journal ArticleDOI
TL;DR: A comprehensive summary of research development on single-user channel estimation and equalization, focusing on both training-based and blind approaches, with an emphasis on linear time-invariant channels.
Abstract: There has been much interest in blind (self-recovering) channel estimation and blind equalization where no training sequences are available or used. In multipoint networks, whenever a link from the server to one of the tributary stations is interrupted, it is clearly not feasible (or desirable) for the server to start sending a training sequence to re-establish a particular link. In digital communications over fading/multipath channels, a restart is required following a temporary path interruption due to severe fading. During on-line transmission impairment monitoring, the training sequences are obviously not supplied by the transmitter. Consequently, the importance of blind channel compensation research is also strongly supported by practical needs. We present a comprehensive summary of research development on single-user channel estimation and equalization, focusing on both training-based and blind approaches. Our emphasis is on linear time-invariant channels.

193 citations