O. Bruyndonckx, Jean-Jacques Quisquater, and Benoit M. Macq. Spatial method for copyright labeling of digital images. In Proceedings of the IEEE Workshop on Nonlinear Signal and Image Processing, pages 456 - 459, Halkidiki, Greece, June 1995. IEEE.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....where a watermark is embedded, e.g. the use of a pseudo random number generator to determine the sequence of locations on the image plane. Voyatzis and Pitas [2] have used a total automorphism approach to scramble the digital watermark before a watermark is inserted into an image. Bruyndonckx [9] has proposed a scheme based on pixel region classification. Pixels are classified as pertaining to regions of hard, progressive or noise contrast. Then, the pixels have their gray levels changed following a rule that takes into account the region where the pixel is inserted and the value of the ....

O. Bruyndonckx, J. J. Quisquater and B. Macq, "Spatial method for copyright labeling of digital images", Proceedings of IEEE Nonlinear Signal Processing Workshop, 1995.

....software packages (e.g. Stego, S Tools) based on LSB approaches are also available. However, any approach which only modifies the LSB data is highly sensitive to noise and is easily destroyed. Furthermore, image quality may be degraded by the watermark. Other watermarking approaches include [4,5,6]. A method similar to ours is presented in [7] where the authors hide data by adding fixed amplitude pseudonoise to the image. The approach presented here employs masking to vary the amplitude of the hidden data. Specifically, the tolerable error levels obtained using masking provide us with ....

O. Bruyndonckx, J.-J. Quisquater, and B. Macq, "Spatial method for copyright labeling of digital images," in Nonlinear Signal Processing Workshop, Thessaloniki, Greece, pp. 456--459, 1995.

....watermark robustness against geometric transformations (i.e. rotation, translation and scaling) while also providing robustness against JPEG compression, spatial filtering, noise addition and enhancement techniques. 1. 2 Literature Review The term DIW first appeared in 1993, when Tirkel et al. [5] presented two techniques to hide data in images. These methods were based on the pixels value s Least Significant Bit (LSB) modifications. Regarding the domain in which information is embedded in the image, watermarking techniques can be classified as spatial domain or frequency domain 1 ....

....to integral transform domains. The word frequency is used for historical reasons, because Fourier and Discrete Cosine Transforms were first used and they keep a direct relation to frequency information in the integral transform domain. 4 transformations were also proposed. Bruyndonckx et al. [5] proposed a scheme based on pixel region classification. Pixels are classified as pertaining to regions of hard, progressive or noise contrast. Then, the pixels have their gray levels changed following a rule that takes into account the region where the pixel is inserted, and the value of the bit ....

O. Bruyndonckx, J.J. Quisquater, and B. Macq, "Spatial method for copyright labeling of digital images", In Proc. IEEE Workshop Nonlinear Signal and Image Processing, Halkidiki, Greece, June 1995.

....on a corner of the video signal. The digital watermark can ensure them against illegal recordings and retransmissions. On the other hand, the existence of the watermark on images can be used as an authentication tool as well. Watermarks are applied either in the frequency or in the spatial domain [1, 2]. The approach we follow in this paper is based on statistical detection theory and it is applied in the spatial domain. 2. DIGITAL WATERMARK DESCRIPTION AND SATISFACTION OF BASIC DEMANDS We consider the case where a NM gray level image I has to be transformed to a NM image I s , containing a ....

O. Bruyndonckx, J.J. Quisquater, B. Macq, "Spatial method for copyright labeling of digital images ", Proc. IEEE Workshop on Nonlinear Signal and image processing, I. Pitas editor, pp. 456-459, 1995.

....on the image plane. Voyatzis and Pitas used a toral automorphism [3] approach to scramble the digital watermark before a watermark is inserted into an image. To increase the robustness of the watermark, many approaches have been proposed to modify some properties of selected pixels or blocks [3, 5 7]. Darven and Scott proposed a fractal based steganographic method to embed the watermark [8] The frequency domain techniques first transform an image into a set of frequency domain coefficients. The transformation may be DCT [10 11, 13 18] Fourier transform [12] or wavelet transform [9, 20] ....

O. Bruyndonckx, J.-J. Quisquater, and B. Macq, "Spatial method for copyright labeling of digital images", Proceedings of IEEE Nonlinear Signal Processing Workshop, 1995, pp. 456-459.

....software packages (e.g. Stego, S Tools) based on LSB approaches are also available. However, any approach which only modifies the LSB data is highly sensitive to noise and is easily destroyed. Furthermore, image quality may be degraded by the watermark. Other watermarking approaches include [4, 5, 6]. A method similar to ours is presented in [7] where the authors hide data by adding fixed amplitude pseudonoise to the image. The approach presented here employs masking to vary the amplitude of the hidden data. Specifically, the tolerable error levels obtained using masking provide us with the ....

O. Bruyndonckx, J.-J. Quisquater, and B. Macq, "Spatial method for copyright labeling of digital images," in Nonlinear Signal Processing Workshop, Thessaloniki, Greece, pp. 456--459, 1995.

....been already presented, they all intend to face mainly format conversions, low pass filtering and data compression. Whereas some works are based on the direct modification of the pixels luminance [1,2,3,7] some others make use of a predicted coding scheme [5] or a JPEG compression scheme [6] In [4], the mark is embedded in the LSB (Least Significant Bit) of the pixels values and in [8] the use of a frequency modulation is done. Also, some techniques have been developed for video data, which is the case of [9] I.3. Our proposal In the following we propose a novel approach to ....

O. Bruyndonckx, J.-J Quisquater and B. Macq, Spatial Method for Copyright Labeling of Digital Images.

....for many multimedia applications, are taken into account [51, 45, 50] The main techniques used are: This work has been made under CNRS grant: Programme T el ecommunications. It benefitted from the help of Teddy Furont and S everine Baudry ffl in the spatial domain, solutions were proposed in [24, 25, 40, 39, 47, 1, 22, 5] and many other. ffl in the DCT domain, the label is often embedded in the middle frequencies, where the robustness to washing is better [52, 53, 42, 41, 13, 3] ffl in the wavelets coefficients [20, 21] ffl by cryptographic techniques [19, 46, 44, 28, 16] ffl by fractal techniques: 14, ....

O. Bruyndonckx, J.J. Quisquater, and B. Macq. Spatial method for copyright labeling of digital images. In IEEE, editor, Non Linear Sugnal Processing Workshop, pages 456--459, Thessaloniki, Greece, October 1995.

....copyright protection of images is still in its early stages and none of the existing methods is totally effective against attacks. The techniques proposed so far can be classified in two broad categories : i) methods that embed the watermark by directly modifying the intensity of certain pixels [2, 9, 6, 10, 5, 11]. ii) methods that act upon selected coefficients of a properly chosen transform domain (DCT domain, DFT domain etc) 20, 21, 16, 7, 8, 17, 18, 12, 13] Watermarking techniques can be alternatively split into two distinct classes depending on whether the original image is necessary for the ....

O. Bruyndonckx, J.-J Quisquater, B. Macq, "Spatial method for copyright labeling of digital images," Proc. of IEEE Workshop on Nonlinear Signal and Image Processing, Neos Marmaras, Greece, pp. 456-459, 20-22 June 1995.

....[12, 13] The first method uses a predictive coding scheme to embed the watermark into the image. In the second method, the watermark is embedded image by dithering the image based on the statistical properties image. These scheme is not robust to attacks such as requantization and cropping. In [14], a watermark for an image is generated by modifying the luminance values inside 8x8 blocks of pixels, adding one extra bit of information to each block. The choice of the modified block is secretly made by the encoder. In [15] a 2 D signature is generated and is embedded into the image by ....

O. Bruyndonckx, J.-J. Quisquater, and B. Macq, "Spatial method for copyright labeling of digital images," in Nonlinear Signal Processing Workshop, Thessaloniki, Greece, pp. 456--459, 1995.

....to detect a watermark when one is present (probability of detection) and the probability that it detects a watermark when none is present (probability of a false alarm) in the presence of jamming signals and signal manipulations. Several techniques for data hiding in images have been developed [1, 3, 4, 5, 6]. A method similar to ours is proposed in [2] where the N largest frequency components of an image are modified by Gaussian noise. However, the scheme only modifies a subset of the frequency components and does not take into account the human visual system (HVS) The audio watermark we propose ....

O. Bruyndonckx, J.-J. Quisquater, and B. Macq, "Spatial method for copyright labeling of digital images," in Nonlinear Signal Processing Workshop, Thessaloniki, Greece, pp. 456-- 459, 1995.

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O. Bruyndonckx, Jean-Jacques Quisquater, and Benoit M. Macq. Spatial method for copyright labeling of digital images. In Proceedings of the IEEE Workshop on Nonlinear Signal and Image Processing, pages 456 - 459, Halkidiki, Greece, June 1995. IEEE.

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O. Bruyndonckx, J. J Quisquater, and B. Macq, "Spatial method for copyright labeling of digital images," in Proc. IEEE Workshop Nonlinear Signal and Image Processing, Halkidiki, Greece, June 1995.

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O. Bruyndonckx, J. J. Quisquater and B. Macq, "Spatial Method for Copyright Labeling of Digital Images," Proc. IEEE Nonlinear Signal and Image Processing, pp. 456-459, June 1995.

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O. Bruyndonckx, J.-J Quisquater, B. Macq, "Spatial method for copyright labeling of digital images," Proc. of IEEE Workshop on Nonlinear Signal and Image Processing, Neos Marmaras, Greece, pp. 456-459, 20-22 June 1995.

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O. Bruyndonckx, J.-J. Quisquater, and B. M. Macq, \Spatial method for copyright labeling of digital images," in Proceedings of the IEEE International Workshop on Nonlinear Signal and Image Processing, pp. 456-459, (Marmaras, Greece), 1995.

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O. Bruyndonckx, J.-J. Quisquater, and B. M. Macq, "Spatial method for copyright labeling of digital images," in Proceed- ings of the IEEE International Workshop on Nonlinear Signal and Image Processing, pp. 456 - 459, (Martaaras, Greece), 1995.

No context found.

O. Bruyndonckx, J.-J. Quisquater, B. Macq, Spatial method for copyright labeling of digital images, Proc. 1995 IEEE Nonlinear Signal Processing Workshop, Thessaloniki, Greece, 1995, pp. 456---459.

No context found.

O. Bruyndonckx, J.-J Quisquater, B. Macq, "Spatial method for copyright labeling of digital images," Proc. of IEEE Workshop on Nonlinear Signal and Image Processing, Neos Marmaras, Greece, pp. 456-459, 20-22 June 1995.

No context found.

O. Bruyndonckx, J. J. Quisquater, B. Macq, "Spatial method for copyright labeling of digital images", Proc. IEEE Workshop on Nonlinear Signal and image processing, I. Pitas editor, pp. 456--459, 1995.

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