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Relevant bibliographies by topics / Spread Spectrum Audio Watermarking

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Journal articles

Academic literature on the topic 'Spread Spectrum Audio Watermarking'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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Journal articles on the topic "Spread Spectrum Audio Watermarking"

1

Can, Yekta Said, Fatih Alagoz, and Melih Evren Burus. "A Novel Spread Spectrum Digital Audio Watermarking Technique." Journal of Advances in Computer Networks 2, no. 1 (2014): 6–9. http://dx.doi.org/10.7763/jacn.2014.v2.71.

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2

Kirovski, D., and H. S. Malvar. "Spread-spectrum watermarking of audio signals." IEEE Transactions on Signal Processing 51, no. 4 (2003): 1020–33. http://dx.doi.org/10.1109/tsp.2003.809384.

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3

HARAHAP, HANNAN, GELAR BUDIMAN, and LEDYA NOVAMIZANTI. "Implementasi Teknik Watermarking menggunakan FFT dan Spread Spectrum Watermark pada Data Audio Digital." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 4, no. 1 (2018): 98. http://dx.doi.org/10.26760/elkomika.v4i1.98.

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ABSTRAKPenggunaan teknologi dan internet yang berkembang dengan pesat menyebabkan banyak pemalsuan dan penyebaran yang tidak sah terhadap data digital. Oleh karena itu, sangat diperlukan suatu teknologi yang dapat melindungi hak cipta data multimedia seperti audio. Teknik yang sering digunakan dalam perlindungan hak cipta adalah watermarking karena teknik ini memiliki tiga kriteria utama dalam keamanan data, yaitu robustness, imperceptibility, dan safety. Untuk itu, pada penelitian ini dirancang suatu skema yang dapat melindungi hak cipta data audio. Metode yang digunakan adalah Fast Fourier T

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4

Malik, H., R. Ansari, and A. Khokhar. "Robust audio watermarking using frequency-selective spread spectrum." IET Information Security 2, no. 4 (2008): 129. http://dx.doi.org/10.1049/iet-ifs:20070145.

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5

LI, L., and X. FANG. "Robust Detection Algorithm for Spread Spectrum Audio Watermarking." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E91-A, no. 11 (2008): 3389–92. http://dx.doi.org/10.1093/ietfec/e91-a.11.3389.

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6

He, Xing, and Michael S. Scordilis. "Efficiently Synchronized Spread-Spectrum Audio Watermarking with Improved Psychoacoustic Model." Research Letters in Signal Processing 2008 (2008): 1–5. http://dx.doi.org/10.1155/2008/251868.

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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

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7

Zhaopin, SU, ZHANG Guofu, ZHOU Xianxian, and LI Wangwang. "Segment‐Adaptive Spread Spectrum Audio Watermarking Using NSGA‐II." Chinese Journal of Electronics 30, no. 4 (2021): 727–35. http://dx.doi.org/10.1049/cje.2021.05.015.

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8

Shokri, Shervin, Mahamod Ismail, Nasharuddin Zainal, and Abdollah Shokri. "BER Performance of Audio Watermarking Using Spread Spectrum Technique." Procedia Technology 11 (2013): 107–13. http://dx.doi.org/10.1016/j.protcy.2013.12.168.

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9

Budiman, Gelar, Andriyan Bayu Suksmono, and Donny Danudirdjo. "FFT-Based Data Hiding on Audio in LWT-Domain Using Spread Spectrum Technique." Elektronika ir Elektrotechnika 26, no. 3 (2020): 20–27. http://dx.doi.org/10.5755/j01.eie.26.3.23950.

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Audio watermarking is a process to hide digital data without being seen or heard by the sense of sight or hearing. Watermaking is applied to insert the copyright on digital media, such as an image file, an audio file or a video file. In this paper, we propose watermarking procedure to embed spread spectrum watermark into frequency domain of adaptive selected subband from host audio. Lifting Wavelet Transform (LWT) is used to decompose the host audio into several subbands, and then Fast Fourier Transform (FFT) transforms selected several subbands with lowest energy. The watermark image is conve

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10

Wu, Shiqiang, Ying Huang, Hu Guan, Shuwu Zhang, and Jie Liu. "ECSS: High-Embedding-Capacity Audio Watermarking with Diversity Reception." Entropy 24, no. 12 (2022): 1843. http://dx.doi.org/10.3390/e24121843.

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Digital audio watermarking is a promising technology for copyright protection, yet its low embedding capacity remains a challenge for widespread applications. In this paper, the spread-spectrum watermarking algorithm is viewed as a communication channel, and the embedding capacity is analyzed and modeled with information theory. Following this embedding capacity model, we propose the extended-codebook spread-spectrum (ECSS) watermarking algorithm to heighten the embedding capacity. In addition, the diversity reception (DR) mechanism is adopted to optimize the proposed algorithm to obtain both

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