The Experts below are selected from a list of 2073 Experts worldwide ranked by ideXlab platform

Michael S Scordilis - One of the best experts on this subject based on the ideXlab platform.

  • Efficiently Synchronized Spread-Spectrum Audio Watermarking with Improved Psychoacoustic Model
    Research Letters in Signal Processing, 2008
    Co-Authors: Xing He, Michael S Scordilis
    Abstract:

    This paper presents an audio watermarking scheme which is based on an efficiently synchronized spread-spectrum technique and a new Psychoacoustic Model computed using the discrete wavelet packet transform. The Psychoacoustic Model takes advantage of the multiresolution analysis of a wavelet transform, which closely approximates the standard critical band partition. The goal of this Model is to include an accurate time-frequency analysis and to calculate both the frequency and temporal masking thresholds directly in the wavelet domain. Experimental results show that this watermarking scheme can successfully embed watermarks into digital audio without introducing audible distortion. Several common watermark attacks were applied and the results indicate that the method is very robust to those attacks.

  • an enhanced Psychoacoustic Model based on the discrete wavelet packet transform
    Journal of The Franklin Institute-engineering and Applied Mathematics, 2006
    Co-Authors: Michael S Scordilis
    Abstract:

    The perception of acoustic information by humans is based on the detailed temporal and spectral analysis provided by the auditory processing of the received signal. The incorporation of this process in Psychoacoustical computational Models has contributed significantly both in the development of highly efficient audio compression schemes as well as in effective audio watermarking methods. In this paper, we present an approach based on the discrete wavelet packet transform, which closely mimics the multi-resolution properties of the human ear and also includes simultaneous and temporal auditory masking. Experimental results show that the proposed technique offers better masking capabilities and it reduces the signal-to-masking ratio when compared to related approaches, without introducing audible distortion. Those results have implications that are important both for audio compression by permitting further bit rate reduction, and for watermarking by providing greater signal space for information hiding.

  • Improved spread spectrum digital audio watermarking based on a modified perceptual entropy Psychoacoustic Model
    Proceedings. IEEE SoutheastCon 2005., 2005
    Co-Authors: Xing He, Michael S Scordilis
    Abstract:

    The proliferation of the Internet and increasing data delivery speeds has facilitated the exchange of multimedia products, both in legal and illegal ways. Digital watermarking offers promise for effective content and copyright protection of digital multimedia. We present an audio watermarking system based on a modified perceptual entropy Psychoacoustic Model and spread spectrum algorithm. By using better perceptual masking, adaptive insertion of the watermark, blind detection and a better synchronization scheme, this approach provides improved robustness, greater capacity and needs lower computation than similar approaches.

Yang Xingming - One of the best experts on this subject based on the ideXlab platform.

  • audio watermarking algorithm based on wavelet packet and Psychoacoustic Model
    Computer Simulation, 2007
    Co-Authors: Yang Xingming
    Abstract:

    A novel digital audio watermarking algorithm based on wavelet packet and Psychoacoustic Model was proposed. The audio signals were decomposed based on wavelet packet using this algorithm, and the masking threshold was calculated in wavelet domain. According to the amplitude factor obtained with Psychoacoustic Model, the algorithm adaptively control the audibility of introduced distortion for embedding the watermark. The binary watermark image was permuted pseudorandomly and was modulated by a binary pseudo-noise sequence, was embedded into the middle-frequency coefficients in wavelet domain. The method can extract the watermark without the original digital audio signal. The experimental results show the watermark is imperceptible and the algorithm is robust to many operations to digital audio signal, such as MPEG layer III lossy compression, low pass filter, resample and so on.

Noureddine Ellouze - One of the best experts on this subject based on the ideXlab platform.

  • An Improved Psychoacoustic Model for Audio Coding Based on Wavelet Packet
    2007
    Co-Authors: Samar Krimi, Kais Ouni, Noureddine Ellouze
    Abstract:

    This paper describes a new design of a Psychoacoustic Model for audio coding following the Model used in the standard MPEG-1 audio layer 3 using an appropriate wavelet packet decomposition of the speech/audio signal. The design of a Psychoacoustic Model is achieved by wavelet packet decomposition whose connections are selected in such a way that sub bands correspond to the best possible one to the critical bands. For that, we used gammachirp wavelet packet because gammachirp filter underwent a good success in Psychoacoustic research. In order to investigate this new design of a Psychoacoustic Model based on wavelet packet decomposition, we proceed to some experimental results: the distribution curve of masking threshold for tone at 1 kHz and for a real complex signal were calculated by utilizing the two different Psychoacoustic Models respectively, the old one based on FFT analysis and the newest one based on wavelet packet analysis especially gammachirp wavelet packet. Also, we show some gammachirp scalograms of some audio sounds.

  • realization of a Psychoacoustic Model for mpeg 1 using gammachirp wavelet transform
    European Signal Processing Conference, 2005
    Co-Authors: Samar Krimi, Kais Ouni, Noureddine Ellouze
    Abstract:

    In this paper, we present a new design of a Psychoacoustic Model following the example Model used in audio standard MPEG-1 layer 3 with the gammachirp wavelet packet decomposition. The essential characteristic of this Model is that it proposes an analysis by wavelet packet transformation on the frequency bands that come closer the critical bands of the ear that differs from the existing Model based on an analysis by a short-term Fourier transformation.

Kais Ouni - One of the best experts on this subject based on the ideXlab platform.

  • A Robust Audio Watermarking Technique Operates in MDCT Domain based on Perceptual Measures
    The Science and Information (SAI) Organization, 2016
    Co-Authors: Maha Bellaaj, Kais Ouni
    Abstract:

    the review presents a digital audio watermarking technique operating in the frequency domain with two variants. This technique uses the Modified Discrete Cosine Transform (MDCT) to move to the frequency domain. To ensure more inaudibility, we exploited the proprieties of the Psychoacoustic Model 1 (PMH1) of MPEG1 encoder layer I in the first variant and those of Psychoacoustic Model 2 (PMH2) of MPEG1 encoder Layer III in the second alternative to search the places for insertion of the watermark. In both variants of the technique, the bits of the mark will be duplicated to increase the capacity of insertion then inserted into the least significant bit (LSB). For more reliability in the detection phase, we use an error correction code (Hamming) on the mark. Next, to analyze the performance of the proposed technique, we perform two comparative studies. In the first, we compare the proposed digital audio watermarking technique with her two variants and those achieved by Luigi Rosa and Rolf Brigola, ‘which we download the M-files of each’. The technique developed by Luigi Rosa operates in the frequency domain but using the Discrete Cosine Transform (DCT) as transformation and that proposed by Rolf Brigola uses the Fast Fourier Transform (FFT). We studied the robustness of each technique against different types of attacks such as compression / decompression MP3, stirmark audio attack and we evaluated the inaudibility by using an objective approach by calculating the SNR and the ODG notes given by PEAQ. The robustness of this technique is shown against different types of attacks. In the second, we prove the contribution of the proposed technique by comparing the payload data, imperceptibility and robustness against attack MP3 with others existing techniques in the literature

  • digital audio watermarking technique exploiting the properties of the Psychoacoustic Model 2 of the mpeg standard
    2014
    Co-Authors: Maha Bellaaj, Kais Ouni
    Abstract:

    In this paper, we propose a watermarking technique for digital audio data operates in the frequency domain. Time–frequency mapping is often done using the Modified Discrete Cosine Transform (MDCT) [1]. It is based on the design of the Psychoacoustic Model 2 (MPH2) of the MPEG standard [2] layer 3 but specific to audio watermarking. To ensure more inaudibility, the insertion of the mark bits will be in the least significant bit (LSB). In this technique, we duplicate the bits of the mark in order to have a maximum capacity of insertion and robustness of growing against different types of attacks. In order to increase the detection rates, we used Hamming [3] code as error correction code. We studied the robustness of this technique against compression/decompression MP3 attack and we evaluated the inaudibility by calculating the Signal-to-Noise Ratio (SNR) and the objective difference grade (ODG) notes given by PEAQ. To highlight our results, we compared the proposed technique with three other existing techniques.

  • High capacity digital audio watermarking technique in the frequency domain exploiting the properties of a Psychoacoustic Model
    2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), 2014
    Co-Authors: Maha Bellaaj, Kais Ouni
    Abstract:

    View the development of the Internet in the 90s and direction of the world into an era where digital is playing an increasingly important we found face serious problems of copyright, piracy, rights ... OF where watermarking comes as an effective solution faces to these problems. Watermarking a signal (audio, image, video) means inserting a message (audio, image, beep, text) in an inaudible manner in the original audio signal in order to protect it. In this paper, we present a digital audio watermarking technique operating in the frequency domain. This technique uses the modified discrete cosine transform (MDCT) to switch to the frequency domain and the characteristics of the Psychoacoustic Model 2 of the MPEG standard in the insertion phase. The bits of the brand are duplicated to increase the capacity of insertion and then inserted into the sample selected by the MPH. To improve reliability in the decoding phase, an error correction code (Hamming) was introduced. The inaudibility of this technique is evaluated by using the PEAQ algorithm and calculating the SNR. The robustness of this technique is shown against different types of attacks.

  • An Improved Psychoacoustic Model for Audio Coding Based on Wavelet Packet
    2007
    Co-Authors: Samar Krimi, Kais Ouni, Noureddine Ellouze
    Abstract:

    This paper describes a new design of a Psychoacoustic Model for audio coding following the Model used in the standard MPEG-1 audio layer 3 using an appropriate wavelet packet decomposition of the speech/audio signal. The design of a Psychoacoustic Model is achieved by wavelet packet decomposition whose connections are selected in such a way that sub bands correspond to the best possible one to the critical bands. For that, we used gammachirp wavelet packet because gammachirp filter underwent a good success in Psychoacoustic research. In order to investigate this new design of a Psychoacoustic Model based on wavelet packet decomposition, we proceed to some experimental results: the distribution curve of masking threshold for tone at 1 kHz and for a real complex signal were calculated by utilizing the two different Psychoacoustic Models respectively, the old one based on FFT analysis and the newest one based on wavelet packet analysis especially gammachirp wavelet packet. Also, we show some gammachirp scalograms of some audio sounds.

  • realization of a Psychoacoustic Model for mpeg 1 using gammachirp wavelet transform
    European Signal Processing Conference, 2005
    Co-Authors: Samar Krimi, Kais Ouni, Noureddine Ellouze
    Abstract:

    In this paper, we present a new design of a Psychoacoustic Model following the example Model used in audio standard MPEG-1 layer 3 with the gammachirp wavelet packet decomposition. The essential characteristic of this Model is that it proposes an analysis by wavelet packet transformation on the frequency bands that come closer the critical bands of the ear that differs from the existing Model based on an analysis by a short-term Fourier transformation.

H E Jianzhao - One of the best experts on this subject based on the ideXlab platform.

  • the improved blind audio digital watermarking algorithm based on Psychoacoustic Model
    Computers & Security, 2008
    Co-Authors: H E Jianzhao
    Abstract:

    Because the robustness of the old audio digital watermarking algorithm based on DWT transform is not strong enough to offer efficacious copyright protection for digital audio signals, this paper presents an improved algorithm. Using Psychoacoustic Model and calculating the masking threshold of the audio signal, this improved algorithm can control embedding the watermark signal and increase embedding strength in an undiscoverable way. The experimental results show that this watermarking algorithm has good robustness and imperceptibility. It can resist various usual attacks and implement blind detection.