A robust audio watermarking scheme based on reduced singular value decomposition and distortion removal

This paper presents a blind audio watermarking algorithm based on the reduced singular value decomposition(RSVD). A new observation on one of the resulting unitary matrices is uncovered. The proposed scheme manipulates coefficients based on this observation in order to embed watermark bits. To preserve audio fidelity a threshold- based distortion control technique is applied and this is further supplemented by distortion suppression utilizing psychoacoustic principles. Test results on real music signals show that this watermarking scheme is in the range of imperceptibility for human hearing, is accurate and also robust against MP3 compression at various bit rates as well as other selected attacks. The data payload is comparatively high compared to existing audio watermarking schemes

ANALISIS OPTIMASI DIGITAL AUDIO WATERMARKING DENGAN TEKNIK SINGULAR VALUE DECOMPOSITION DAN QUANTIZATION INDEX MODULATION BERBASIS LIFTING WAVELET TRANSFORM MENGGUNAKAN ALGORITMA GENETIKA

ABSTRAK Pada perkembangan teknologi digital yang sangat pesat ini, telah mempermudah pengguna layanan internet untuk mengakses, menyalin, dan mengunggah suatu informasi media digital seperti teks, gambar, audio, dan video pada internet. Kemudahan inilah yang membuat penyedia atau pemilik sebuah konten audio digital khawatir dengan maraknya pembajakan yang dilakukan oleh beberapa orang yang tidak memiliki hak akan konten tersebut. Salah satu solusi yang tepat untuk menyelesaikan masalah tersebut adalah dengan menggunakan teknik digital watermarking. Dalam tugas akhir ini proses watermarking menggunakan metode LWT (Lifting Wavelete Transform), SVD (Singular Value Decomposition), QIM (Quantization Index Modulation), dan Algoritma Genetika. Audio pada penelitian ini menggunakan format (*wav.file). Host audio akan melalui metode LWT yang berfungsi untuk memisahkan host audio ke dalam domain sinyal rendah dan sinyal tinggi untuk menentukan tempat penyisipan data watermark. Kemudian pada proses SVD bertugas untuk memberikan ketahanan pada skema penyisipan yang digunakan. Pada proses penyisipan akan dilakukan menggunakan metode QIM yang kemudian diuji dengan beberapa serangan seperti BPF, resampling, time scale modification, dan lain-lain. Lalu hasilnya akan dioptimasi menggunakan algoritma genetika agar mendapatkan hasil yang optimal. Optimasi diperoleh parameter yang paling optimal yaitu menghasilkan ODG = -1.05193, SNR = 61.89326, BER = 0, kapasitas = 75 dan dengan level decomposition 1, panjang frame 32, threshold sebesar 0.008, kedalaman 32 bit audio dan kuantisasi QIM 10 bit. Jenis serangan yang digunakan adalah time scale modification. Kata Kunci : Audio watermarking, Lifting Wavelet Transform, Singular Value Decomposition, Quantizing Index Modulation, Algoritma Genetik

A Robust Speech Content Authentication Algorithm Against Desynchronization Attacks

Abstract-A robust speech content authentication algorithm against desynchronization attacks is proposed, in order to authenticate the content of digital speech signal. Firstly, the signal is framed, and each frame is divided into two parts. The frame number of each frame, as the watermark bit, is embedded into the first and second part by quantizing Bessel-Fourier moments of the correspond signals. The content of each frame is authenticated by comparing with the watermark bits extracted from the first and second part. Experiment results shown that the authentication scheme against desynchronization attacks proposed is effective. And comparing with some existing schemes, the performance of scheme is improved

Compressive Sensing Audio Watermarking dengan Metode LWT dan QIM

ABSTRAK Penelitian ini mengembangkan teknik Compressive Sensing (CS) untuk audio watermarking dengan metode Lifting Wavelet Transform (LWT) dan Quantization Index Modulation (QIM). LWT adalah salah satu teknik mendekomposisi sinyal menjadi 2 sub-band, yaitu sub-band low dan high. QIM adalah suatu metode yang efisien secara komputasi atau perhitungan watermarking dengan menggunakan informasi tambahan. Audio watermarking dilakukan menggunakan file audio dengan format *.wav berdurasi 10 detik dan menggunakan 4 genre musik, yaitu pop, classic, rock, dan metal. Watermark yang disisipkan berupa citra hitam putih dengan format *.bmp yang masing-masing berukuran 32x32 dan 64x64 pixel. Pengujian dilakukan dengan mengukur nilai SNR, ODG, BER, dan PSNR. Audio yang telah disisipkan watermark, diuji ketahanannya dengan diberikan 7 macam serangan berupa LPF, BPF, HPF, MP3 compression, noise, dan echo. Penelitian ini memiliki hasil optimal dengan nilai SNR 85,32 dB, ODG -8,34x10-11, BER 0, dan PSNR ∞. Kata kunci: Audio watermarking, QIM, LWT, Compressive Sensing.   ABSTRACT This research developed Compressive Sensing (CS) technique for audio watermarking using Wavelet Transform (LWT) and Quantization Index Modulation (QIM) methods. LWT is one technique to decompose the signal into 2 sub-bands, namely sub-band low and high. QIM is a computationally efficient method or watermarking calculation using additional information. Audio watermarking was done using audio files with *.wav format duration of 10 seconds and used 4 genres of music, namely pop, classic, rock, and metal. Watermark was inserted in the form of black and white image with *.bmp format each measuring 32x32 and 64x64 pixels. The test was done by measuring the value of SNR, ODG, BER, and PSNR. Audio that had been inserted watermark was tested its durability with given 7 kinds of attacks such as LPF, BPF, HPF, MP3 Compression, Noise, and Echo. This research had optimal result with SNR value of 85.32 dB, ODG value of -8.34x10-11, BER value of 0, and PSNR value of ∞. Keywords: Audio watermarking, QIM, LWT, Compressive Sensing

New Digital Audio Watermarking Algorithms for Copyright Protection

This thesis investigates the development of digital audio watermarking in addressing issues such as copyright protection. Over the past two decades, many digital watermarking algorithms have been developed, each with its own advantages and disadvantages. The main aim of this thesis was to develop a new watermarking algorithm within an existing Fast Fourier Transform framework. This resulted in the development of a Complex Spectrum Phase Evolution based watermarking algorithm. In this new implementation, the embedding positions were generated dynamically thereby rendering it more difficult for an attacker to remove, and watermark information was embedded by manipulation of the spectral components in the time domain thereby reducing any audible distortion. Further improvements were attained when the embedding criteria was based on bin location comparison instead of magnitude, thereby rendering it more robust against those attacks that interfere with the spectral magnitudes. However, it was discovered that this new audio watermarking algorithm has some disadvantages such as a relatively low capacity and a non-consistent robustness for different audio files. Therefore, a further aim of this thesis was to improve the algorithm from a different perspective. Improvements were investigated using an Singular Value Decomposition framework wherein a novel observation was discovered. Furthermore, a psychoacoustic model was incorporated to suppress any audible distortion. This resulted in a watermarking algorithm which achieved a higher capacity and a more consistent robustness. The overall result was that two new digital audio watermarking algorithms were developed which were complementary in their performance thereby opening more opportunities for further research

High capacity data embedding schemes for digital media

High capacity image data hiding methods and robust high capacity digital audio watermarking algorithms are studied in this thesis. The main results of this work are the development of novel algorithms with state-of-the-art performance, high capacity and transparency for image data hiding and robustness, high capacity and low distortion for audio watermarking.En esta tesis se estudian y proponen diversos métodos de data hiding de imágenes y watermarking de audio de alta capacidad. Los principales resultados de este trabajo consisten en la publicación de varios algoritmos novedosos con rendimiento a la altura de los mejores métodos del estado del arte, alta capacidad y transparencia, en el caso de data hiding de imágenes, y robustez, alta capacidad y baja distorsión para el watermarking de audio.En aquesta tesi s'estudien i es proposen diversos mètodes de data hiding d'imatges i watermarking d'àudio d'alta capacitat. Els resultats principals d'aquest treball consisteixen en la publicació de diversos algorismes nous amb rendiment a l'alçada dels millors mètodes de l'estat de l'art, alta capacitat i transparència, en el cas de data hiding d'imatges, i robustesa, alta capacitat i baixa distorsió per al watermarking d'àudio.Societat de la informació i el coneixemen

A robust video watermarking using simulated block based spatial domain technique

A digital watermark embeds an imperceptible signal into data such as audio, video and images, for different purposes including authentication and tamper detection. Tamper detection techniques for video watermarking play a major role of forensic evidence in court. The existing techniques for concealing information in the multimedia host are mostly based on spatial domain rather than frequency domain. The spatial domain techniques are not as robust as frequency domain techniques. In order to improve the robustness of spatial domain, a watermark can be embedded several times repeatedly. In order for spatial domain techniques to be more efficient, more payload is needed to embed additional information. The additional information would include the redundant watermarks to ensure the achievable robustness and more metadata of pixels to ensure achievable efficiency to detect more attacks. All these required additional information will degrade the imperceptibility. This research focuses on video watermarking, particularly with respect to Audio Video Interleaved (AVI) form of video file format. The block-wise method is used to determine which block exactly altered. A high imperceptible and efficient tamper detection watermarking technique is proposed which embeds in first and second Least Significant Bits (LSB). The proposed technique divides the video stream to 2*2 nonoverlapping simulated blocks. Nine common attacks to video have been applied to the proposed technique. An imperceptible and efficient tamper detection technique with a novel method of video segmentation to comprise more pixels watermarked is proposed. Experimental results show the technique is able to detect the attacks with the average of Peak Signal-to-Noise Ratio (PSNR) as 47.87dB. The results illustrate the proposed technique improves imperceptibility and efficiency of tamper detection