The Experts below are selected from a list of 9063 Experts worldwide ranked by ideXlab platform

Heau-jo Kang - One of the best experts on this subject based on the ideXlab platform.

Ziya Telatar - One of the best experts on this subject based on the ideXlab platform.

  • SAC - Improved SVD-DWT based digital image Watermarking against Watermark ambiguity
    Proceedings of the 2007 ACM symposium on Applied computing - SAC '07, 2007
    Co-Authors: Erkan Yavuz, Ziya Telatar
    Abstract:

    Singular Value Decomposition (SVD) has been used as a valuable transform technique for robust digital Watermarking. This arises from the fact that, changing singular values (SV) of an image slightly does not affect the image quality much. In some SVD based methods, SVs of the Watermark are Embedded into SVs of the cover image. Then in detection, the Watermark is constructed by using original singular vectors. If the singular vectors of another image rather than the original Watermark are used, that image is constructed as the Embedded Watermark, causing the false positive probability to be one. In this paper, we propose a technique against this ambiguity by embedding the singular vectors of the Watermark image as a control parameter. We discuss the performance of the proposed method against some attacks.

  • improved svd dwt based digital image Watermarking against Watermark ambiguity
    ACM Symposium on Applied Computing, 2007
    Co-Authors: Erkan Yavuz, Ziya Telatar
    Abstract:

    Singular Value Decomposition (SVD) has been used as a valuable transform technique for robust digital Watermarking. This arises from the fact that, changing singular values (SV) of an image slightly does not affect the image quality much. In some SVD based methods, SVs of the Watermark are Embedded into SVs of the cover image. Then in detection, the Watermark is constructed by using original singular vectors. If the singular vectors of another image rather than the original Watermark are used, that image is constructed as the Embedded Watermark, causing the false positive probability to be one. In this paper, we propose a technique against this ambiguity by embedding the singular vectors of the Watermark image as a control parameter. We discuss the performance of the proposed method against some attacks.

  • MRCS - SVD adapted DCT domain DC subband image Watermarking against Watermark ambiguity
    Multimedia Content Representation Classification and Security, 2006
    Co-Authors: Erkan Yavuz, Ziya Telatar
    Abstract:

    In some Singular Value Decomposition (SVD) based Watermarking techniques, singular values (SV) of the cover image are used to embed the SVs of the Watermark image. In detection, singular vectors of the Watermark image are used to construct the Embedded Watermark. A problem faced with this approach is to obtain the resultant Watermark as the image whose singular vectors are used for restoring the Watermark, namely, what is searched that is found. In this paper, we propose a Discrete Cosine Transform (DCT) DC subband Watermarking technique in SVD domain against this ambiguity by embedding the singular vectors of the Watermark image, too, as a control parameter. We give the experimental results of the proposed technique against some attacks.

Ioannis Pitas - One of the best experts on this subject based on the ideXlab platform.

  • robust audio Watermarking in the time domain
    IEEE Transactions on Multimedia, 2001
    Co-Authors: Paraskevi Bassia, Ioannis Pitas, Nikos Nikolaidis
    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.

  • robust audio Watermarking in the time domain
    European Signal Processing Conference, 1998
    Co-Authors: P. Bossia, Ioannis Pitas
    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.

Nikos Nikolaidis - One of the best experts on this subject based on the ideXlab platform.

  • robust audio Watermarking in the time domain
    IEEE Transactions on Multimedia, 2001
    Co-Authors: Paraskevi Bassia, Ioannis Pitas, Nikos Nikolaidis
    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.

C.c. Kuo - One of the best experts on this subject based on the ideXlab platform.

  • Wavelet-based digital image Watermarking.
    Optics express, 1998
    Co-Authors: H.j. Wang, P.-c. Su, C.c. Kuo
    Abstract:

    A wavelet-based Watermark casting scheme and a blind Watermark retrieval technique are investigated in this research. An adaptive Watermark casting method is developed to first determine significant wavelet subbands and then select a couple of significant wavelet coefficients in these subbands to embed Watermarks. A blind Watermark retrieval technique that can detect the Embedded Watermark without the help from the original image is proposed. Experimental results show that the Embedded Watermark is robust against various signal processing and compression attacks.