307 research outputs found

    Tatouage audio par EMD

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    In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called Intrinsic Mode Functions (IMFs). The watermark and the synchronization codes are embedded into the extrema of the last IMF, a low frequency mode stable under different attacks and preserving audio perceptual quality of the host signal. The data embedding rate of the proposed algorithm is 46.9–50.3 b/s. Relying on exhaustive simulations, we show the robustness of the hidden watermark for additive noise, MP3 compression, re-quantization, filtering, cropping and resampling. The comparison analysis shows that our method has better performance than watermarking schemes reported recently

    Localization of Copy-Move Forgery in speech signals through watermarking using DCT-QIM

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    Digital speech copyright protection and forgery identification are the prevalent issues in our advancing digital world. In speech forgery, voiced part of the speech signal is copied and pasted to a specific location which alters the meaning of the speech signal. Watermarking can be used to safe guard the copyrights of the owner. To detect copy-move forgeries a transform domain watermarking method is proposed. In the proposed method, watermarking is achieved through Discrete Cosine Transform (DCT) and Quantization Index Modulation (QIM) rule. Hash bits are also inserted in watermarked voice segments to detect Copy-Move Forgery (CMF) in speech signals. Proposed method is evaluated on two databases and achieved good imperceptibility. It exhibits robustness in detecting the watermark and forgeries against signal processing attacks such as resample, low-pass filtering, jittering, compression and cropping. The proposed work contributes for forensics analysis in speech signals. This proposed work also compared with the some of the state-of-art methods

    PERBAIKAN DETEKSI WATERMARK MENGGUNAKAN EKSTRAKSI FITUR BENTUK PADA AUDIO WATERMARKING BERBASISKAN TEKNIK DWT-SVD-QIM PADA SEGMEN AUDIO ADAPTIF

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    Di era globalisasi saat ini lebih mudah untuk mengakses informasi melalui berbagai media. Sehingga banyak ditemukan kasus pelanggaran hak cipta. Penelitian ini menjadi salah satu solusi untuk mengatasi permasalahan tersebut yaitu dengan mengaplikasikan teknik watermarking. Pada penelitian ini dilakukan perbaikan tingkat akurasi deteksi watermark dengan menggunakan ekstraksi fitur bentuk untuk mengekstrak informasi dari suatu audio sehingga hak cipta dari data digital dapat terlindungi dari pihak-pihak yang menyalahgunakannya. Metode yang digunakan pada Tugas Akhir ini yaitu Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), dan Quantization Index Modulation (QIM). Hasil yang diperoleh menunjukkan kualitas watermark ketika dilakukan pengujian dengan menggunakan parameter SNR, ODG dan MOS. ODG bernilai -0.02, SNR bernilai 33.20 dB, untuk rata-rata MOS tertinggi bernilai 4.60 dan besar kapasitas (C)  bernilai 215.72 bps. Ketahanan watermark (BER) rata-rata terkecil bernilai 22% dan tingkat akurasi deteksi watermark (CDR) rata-rata tertinggi sebesar 71%

    AUDIO WATERMARKING WITH ANGLE QUANTIZATION BASED ON DISCRETE WAVELET TRANSFORM AND SINGULAR VALUE DECOMPOSITION

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    An audio watermark is a unique electronic identifier embedded in an audio signal, typically used to identify ownership of copyright. Proposed work is a new method of audio watermark hiding inside another bigger cover standard audio cover. The method includes ‘harr’ wavelet based Discrete Wavelet Transform decomposition of frequencies hence the audio samples of watermark gets hidden only those parts of cover audio where human ears are less sensible according to Human Auditory System. Proposed method also includes the Singular Value Decomposition, which is required for making our method robust against the various communication of processing attacks like compression, filtering, fading or noise addition. Proposed work is also using the concept of angular modulation which initially modifies the audio watermark in to provide extra security and also extra robustness in communication. The design is been develop on MATLAB 2013b version and verification of design o the same.&nbsp

    AN INVESTIGATION OF DIFFERENT VIDEO WATERMARKING TECHNIQUES

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    Watermarking is an advanced technology that identifies to solve the problem of illegal manipulation and distribution of digital data. It is the art of hiding the copyright information into host such that the embedded data is imperceptible. The covers in the forms of digital multimedia object, namely image, audio and video. The extensive literature collected related to the performance improvement of video watermarking techniques is critically reviewed and presented in this paper. Also, comprehensive review of the literature on the evolution of various video watermarking techniques to achieve robustness and to maintain the quality of watermarked video sequences

    An SVD-based audio watermarking technique

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