806 research outputs found

    Modified DCT-based Audio Watermarking Optimization using Genetics Algorithm

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    Ease process digital data information exchange impact on the increase in cases of copyright infringement. Audio watermarking is one solution in providing protection for the owner of the work. This research aims to optimize the insertion parameters on Modified Discrete Cosine Transform (M-DCT) based audio watermarking using a genetic algorithm, to produce better audio resistance. MDCT is applied after reading host audio, then embedding in MDCT domain is applied by Quantization Index Modulation (QIM) technique. Insertion within the MDCT domain is capable of generating a high imperceptible watermarked audio due to its overlapping frame system. The system is optimized using genetic algorithms to improve the value of imperceptibility and robustness in audio watermarking. In this research, the average SNR reaches 20 dB, and ODG reaches -0.062. The subjective quality testing on the system obtains an average MOS of 4.22 out of five songs tested. In addition, the system is able to withstand several attacks. The use of M-DCT in audio watermaking is capable of producing excellent imperceptibility and better watermark robustness

    Analisis Audio Watermarked pada Domain Wavelet Menggunakan Algoritma genetika

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    ABSTRAKSI: Perkembangan teknologi pertukaran informasi yang cukup pesat saat ini menyebabkan data digital, dalam hal ini audio, dapat dipertukarkan dengan mudahnya. Salah satu solusi untuk mencegah adanya penyalahgunaan hak cipta terhadap data digital tersebut, adalah dengan menggunakan watermarking. Dalam tugas akhir ini dilakukan implementasi watermarking audio berformat wav pada domain wavelet menggunakan algoritma genetika dimana data yang akan disisipkan pada audio adalah berupa citra biner. Proses penyisipannya digunakan koefisien wavelet dan dievaluasi oleh algoritma genetika untuk menemukan solusi yang terbaik. Solusi tersebut berupa audio watermarked yang memiliki nilai similarity/ketahanan yang terbaik pada populasinya. Berdasarkan percobaan yang telah dilakukan, didapatkan hasil bahwa algoritma genetika dapat meningkatkan ketahanan audio watermarked sebesar 1% s.d 9% terhadap filtering dan 1% s.d 11% terhadap resampling. Ketahanan audio watermarked dipengaruhi oleh jumlah generasi, probabilitas pindah silang dan probabilitas mutasi.Kata Kunci : Watermarking, Algoritma Genetika, Koefisien Wavelet, WavABSTRACT: The fast growth of technology makes one can easily exchange digital data. To prevent the copyright abusement of those digital data, one of the methods is watermarking. Watermarking can be applied on many digital data. In this final project, it will be implemented audio watermarking in wav format using genetic algorithm on wavelet domain which is data that will be embeded into audio host is binary image. Its embedding process is used wavelet coefficient and evaluated by genetic algorithm to find the best solution. The solution here means watermarked audio which has the best similarity or robustness value in its population. From the testcast are received that genetic algorithm increases robustness value of watermarked audio from about 1% to 9 % for filtering and 1% to 11% for resampling. The robustness of watermarked audio is affected by the number of generations, crossover probability, and mutation probability.Keyword: Watermarking, Genetic Algorithm, Wavelet Coefficient, Wa
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