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Journal articles on the topic 'Spread Spectrum Audio Watermarking'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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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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11

Li, Rangkun, Shuzheng Xu, and Huazhong Yang. "Spread spectrum audio watermarking based on perceptual characteristic aware extraction." IET Signal Processing 10, no. 3 (2016): 266–73. http://dx.doi.org/10.1049/iet-spr.2014.0388.

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12

Cvejic, Nedeljko, and Tapio Seppänen. "Spread spectrum audio watermarking using frequency hopping and attack characterization." Signal Processing 84, no. 1 (2004): 207–13. http://dx.doi.org/10.1016/j.sigpro.2003.10.016.

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13

Karthigaikumar, P., K. Baskaran, and K. Jaraline Kirubavathy. "Low power implementation of audio watermarking using chirp spread spectrum technique." International Journal of Information and Computer Security 4, no. 3 (2011): 199. http://dx.doi.org/10.1504/ijics.2011.040180.

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14

Yong Xiang, Iynkaran Natgunanathan, Yue Rong, and Song Guo. "Spread Spectrum-Based High Embedding Capacity Watermarking Method for Audio Signals." IEEE/ACM Transactions on Audio, Speech, and Language Processing 23, no. 12 (2015): 2228–37. http://dx.doi.org/10.1109/taslp.2015.2476755.

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15

Jung, Sarah, Jongwon Seok, and Jinwoo Hong. "An Improved Detection Technique for Spread Spectrum Audio Watermarking with a Spectral Envelope Filter." ETRI Journal 25, no. 1 (2003): 52–54. http://dx.doi.org/10.4218/etrij.03.0203.0103.

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16

Zhang, Ying, Zhengguang Xu, and Benxiong Huang. "Channel Capacity Analysis of the Generalized Spread Spectrum Watermarking in Audio Signals." IEEE Signal Processing Letters 22, no. 5 (2015): 519–23. http://dx.doi.org/10.1109/lsp.2014.2363655.

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17

Zulmi Alhamri, Rinanza, Esti Suryani, and Wisnu Widiarto. "Audio Watermarking dengan Metode Direct Sequence Spread Spectrum untuk Konten Musik Digital." Jurnal Teknologi & Informasi ITSmart 2, no. 1 (2016): 01. http://dx.doi.org/10.20961/its.v2i1.608.

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18

Li, Rangkun, Shuzheng Xu, Bo Rong, and Huazhong Yang. "Host cancelation-based spread spectrum watermarking for audio anti-piracy over Internet." Security and Communication Networks 9, no. 17 (2016): 4691–702. http://dx.doi.org/10.1002/sec.1673.

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19

Yuana, Defta Pradana, and Agus Prihanto. "Implementasi Digital Watermarking Pada File Audio Mp3 Menggunakan Metode FHSS (Frequency Hopping Spread Spectrum) Dan Fourier Transform." Journal of Informatics and Computer Science (JINACS) 3, no. 04 (2022): 456–61. http://dx.doi.org/10.26740/jinacs.v3n04.p456-461.

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Abstrak --- Digital Watermarking merupakan gambaran besar alur bagaimana pengguna digital salah satunya perusahaan musik atau musisi itu sendiri mengelolah data musiknya yang berupa file master mp3 dengan bertujuan memberi watermark agar data tersebut tidak mudah diplagiasi maupun disalin lalu disebarluaskan melalui pasar digital yang ada. Ada beberapa metode yang mempermudah bagi para developer dalam mengembangkan software aplikasi yaitu salah satunya metode FHSS (Frequency Hopping Spread Spectrum). FHSS sendiri ini adalah metode yang digunakan untuk bagaimana nantinya watermark akan disematk

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20

Xu, Zhengguang, Chenghuan Ao, and Benxiong Huang. "Channel Capacity Analysis of the Multiple Orthogonal Sequence Spread Spectrum Watermarking in Audio Signals." IEEE Signal Processing Letters 23, no. 1 (2016): 20–24. http://dx.doi.org/10.1109/lsp.2015.2497460.

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21

Xiang, Yong, Iynkaran Natgunanathan, Dezhong Peng, Guang Hua, and Bo Liu. "Spread Spectrum Audio Watermarking Using Multiple Orthogonal PN Sequences and Variable Embedding Strengths and Polarities." IEEE/ACM Transactions on Audio, Speech, and Language Processing 26, no. 3 (2018): 529–39. http://dx.doi.org/10.1109/taslp.2017.2782487.

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22

Baranwal, Neha, Kamalika Datta, and Bismita Gadanayak. "Peak Detection based Spread Spectrum Audi Watermarking using Discrete Wavelet Transform." International Journal of Computer Applications 24, no. 1 (2011): 16–20. http://dx.doi.org/10.5120/2916-3842.

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23

Perez-Freire, L., and F. Perez-Gonzalez. "Spread-Spectrum Watermarking Security." IEEE Transactions on Information Forensics and Security 4, no. 1 (2009): 2–24. http://dx.doi.org/10.1109/tifs.2008.2009603.

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24

Goswami, Komal, and Nitika Sharma. "Sound Watermarking Utilizing Spread Spectrum." International Journal of Computer Applications 129, no. 7 (2015): 17–21. http://dx.doi.org/10.5120/ijca2015906856.

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25

Byeong-Seob Ko, R. Nishimura, and Y. Suzuki. "Time-spread echo method for digital audio watermarking." IEEE Transactions on Multimedia 7, no. 2 (2005): 212–21. http://dx.doi.org/10.1109/tmm.2005.843366.

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26

Mohammed Salih, Abdulkareem. "Secured Watermarking Image Using Spread Spectrum." Tikrit Journal of Engineering Sciences 23, no. 3 (2016): 71–78. http://dx.doi.org/10.25130/tjes.23.3.08.

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Due to the increased development in technique of data transfer over internet and transmission media, the access and copy to these data in unathentical manner became a big challenge in the transmission media. This challenge led to make effort in digital multimedia security. In this paper a new algorithm is proposed to protect image from unauthentication access using watermarking. The watermarking algorithm hide the mark image in frequency domain using Discrete Cosine Transform and extract it at the receiver from the transmitted image without need for origin image. The basic principle of the alg

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27

Cox, I. J., J. Kilian, F. T. Leighton, and T. Shamoon. "Secure spread spectrum watermarking for multimedia." IEEE Transactions on Image Processing 6, no. 12 (1997): 1673–87. http://dx.doi.org/10.1109/83.650120.

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28

Padmaa, M., and D. Tharani. "Spread Spectrum Image Watermarking in Wavelet Domain." Asian Journal of Research in Social Sciences and Humanities 7, no. 1 (2017): 472. http://dx.doi.org/10.5958/2249-7315.2016.01386.1.

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29

Mankar, V. H., T. S. Das, S. Sarkar, and S. K. Sarkar. "Redundant Wavelet Watermarking using Spread Spectrum Modulation." ELCVIA Electronic Letters on Computer Vision and Image Analysis 7, no. 2 (2008): 1. http://dx.doi.org/10.5565/rev/elcvia.267.

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30

Kumar, Basant, Harsh Vikram Singh, Surya Pal Singh, and Anand Mohan. "Secure Spread-Spectrum Watermarking for Telemedicine Applications." Journal of Information Security 02, no. 02 (2011): 91–98. http://dx.doi.org/10.4236/jis.2011.22009.

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31

Zhong, Jidong, and Shangteng Huang. "An Enhanced Multiplicative Spread Spectrum Watermarking Scheme." IEEE Transactions on Circuits and Systems for Video Technology 16, no. 12 (2006): 1491–506. http://dx.doi.org/10.1109/tcsvt.2006.885716.

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32

Moulin, P., and A. Ivanovic. "The zero-rate spread-spectrum watermarking game." IEEE Transactions on Signal Processing 51, no. 4 (2003): 1098–117. http://dx.doi.org/10.1109/tsp.2003.809370.

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33

Sedghi, Saeed, and Yôiti Suzuki. "Reducing Host Interference from Spread Spectrum Watermarking." Circuits, Systems & Signal Processing 27, no. 2 (2008): 183–93. http://dx.doi.org/10.1007/s00034-008-9022-2.

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34

MAITY, SANTI P., and MALAY K. KUNDU. "PERFORMANCE IMPROVEMENT IN SPREAD SPECTRUM IMAGE WATERMARKING USING WAVELETS." International Journal of Wavelets, Multiresolution and Information Processing 09, no. 01 (2011): 1–33. http://dx.doi.org/10.1142/s0219691311003931.

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This paper investigates the scope of wavelets for performance improvement in spread spectrum image watermarking. Performance of a digital image watermarking algorithm, in general, is determined by the visual invisibility of the hidden data (imperceptibility), reliability in the detection of the hidden information after various common and deliberate signal processing operations (robustness) applied on the watermarked signals and the amount of data to be hidden (payload) without affecting the imperceptibility and robustness properties. In this paper, we propose a few spread spectrum (SS) image w

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35

Zhang, Lian Jun. "The Detection for Image Spread Spectrum Watermarking Based on Self-Adaptive Wavelet Transform by DSP." Advanced Materials Research 433-440 (January 2012): 5957–61. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5957.

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The relation between the digital watermarking and spread-spectrum is analyzed in this paper at the beginning. Then, a spread-spectrum adaptive digital watermarking scheme based on the wavelet transform is proposed and the system for this digital watermarking algorithm based on DSP is realized. Finally, a testing on the image digital watermarking processing system by DSP is conducted. The result from the testing approves that the system is flexible and can accomplish watermark embedding and detecting.

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36

Osman, Mahmoud A., and Nasser H. Ali. "Audio Watermarking Based on Wavelet Transform." Applied Mechanics and Materials 229-231 (November 2012): 2784–88. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.2784.

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The process of hiding the information like text, binary image, audio etc. into another signal source like image, audio etc. is called watermarking. The approach involved in watermarking the binary image signal in the wavelet domain of the audio signal was implemented using MATLAB. In this paper, we propose a Discrete Wavelet Transform low frequency to high frequency. Besides, the high frequency spectrum is less sensitive to human ear. That is the reason why the high frequency component is usually discarded in the compression process. Therefore, information to be hidden can be embedded into the

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37

Xiang, Yong, Iynkaran Natgunanathan, Dezhong Peng, Wanlei Zhou, and Shui Yu. "A Dual-Channel Time-Spread Echo Method for Audio Watermarking." IEEE Transactions on Information Forensics and Security 7, no. 2 (2012): 383–92. http://dx.doi.org/10.1109/tifs.2011.2173678.

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38

Takahashi, Hironobu, Ryouichi Nishimura, and Yôiti Suzuki. "Time-spread echo digital audio watermarking tolerant of pitch shifting." Acoustical Science and Technology 26, no. 6 (2005): 530–32. http://dx.doi.org/10.1250/ast.26.530.

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39

Chen, Siyue. "Chaotic spread spectrum watermarking for remote sensing images." Journal of Electronic Imaging 13, no. 1 (2004): 220. http://dx.doi.org/10.1117/1.1631316.

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40

Wu, Qiuling, Runyu Ding, and Jiangchun Wei. "Audio Watermarking Algorithm with a Synchronization Mechanism Based on Spectrum Distribution." Security and Communication Networks 2022 (September 5, 2022): 1–13. http://dx.doi.org/10.1155/2022/2617107.

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In order to solve the problem that it is difficult to extract the watermark when the carried audio is subjected to malicious attacks, audio watermarking algorithm based on spectrum distribution is proposed. An eigenvalue is designed to represent the spectrum distribution of the specified frequency-band, and then the binary watermark is embedded by adjusting the difference of the eigenvalues between two adjacent frequency-bands. The polarity of embedding depth is determined by comparing the values of the eigenvalues, which will minimize the modification about the audio so as to improve transpar

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41

shi, Rupan, Pree ti, and Van dana. "Audio Steganography by Direct Sequence Spread Spectrum." International Journal of Computer Trends and Technology 13, no. 2 (2014): 83–86. http://dx.doi.org/10.14445/22312803/ijctt-v13p118.

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42

Wei, Chang Bao. "Image Copyright Protection Watermark Algorithm Based on Spread Spectrum Technology." Applied Mechanics and Materials 602-605 (August 2014): 3272–77. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3272.

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With the application of digital watermarking based on spread spectrum communication technology and the difficult control characteristics of watermark load intensity and invisibility, this paper considers the best compromise between watermark robustness and invisibility factors, and puts forward a digital watermarking algorithm using spread spectrum communication technology. By ultimate strength loading watermark test, the algorithm is verified to have good robustness. Chinese library classification number: TP391 literature identifier: A

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43

Hua, Guang, Jonathan Goh, and Vrizlynn L. L. Thing. "Time-Spread Echo-Based Audio Watermarking With Optimized Imperceptibility and Robustness." IEEE/ACM Transactions on Audio, Speech, and Language Processing 23, no. 2 (2015): 227–39. http://dx.doi.org/10.1109/taslp.2014.2387385.

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44

ITO, Hiroshi, and Tadashi KASEZAWA. "Permutation-Based Signature Generation for Spread-Spectrum Video Watermarking." IEICE Transactions on Information and Systems E102.D, no. 1 (2019): 31–40. http://dx.doi.org/10.1587/transinf.2018mup0005.

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45

Dibe, Pranita, and Satya Verma. "A Survey on Image Watermarking Using Spread Spectrum Method." International Journal of Computer Sciences and Engineering 7, no. 5 (2019): 272–76. http://dx.doi.org/10.26438/ijcse/v7i5.272276.

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46

Mohamed El Hajji, Hassan Douzi, Rachid Harba, and Frederic Ros. "Improved Spread Spectrum Watermarking Based on Wavelet Dominant Coefficients." International Journal of Engineering and Industries 2, no. 3 (2011): 131–40. http://dx.doi.org/10.4156/ijei.vol2.issue3.13.

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47

Kirovski, Darko, and Yacov Yacobi. "Asymmetric spread-spectrum watermarking systems and methods of use." Journal of the Acoustical Society of America 118, no. 4 (2005): 2111. http://dx.doi.org/10.1121/1.2125249.

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48

Fan Zhang, Wenyu Liu, Weisi Lin, and King Ngi Ngan. "Spread Spectrum Image Watermarking Based on Perceptual Quality Metric." IEEE Transactions on Image Processing 20, no. 11 (2011): 3207–18. http://dx.doi.org/10.1109/tip.2011.2146263.

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49

Hua, Guang. "Over-Complete-Dictionary-Based Improved Spread Spectrum Watermarking Security." IEEE Signal Processing Letters 27 (2020): 770–74. http://dx.doi.org/10.1109/lsp.2020.2986154.

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50

Sakai, Yasuhiro, and Kazushi Mimura. "Robustness Evaluation of Spread-Spectrum Watermarking Against Collusion Attack." Journal of the Physical Society of Japan 81, no. 3 (2012): 035005. http://dx.doi.org/10.1143/jpsj.81.035005.

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