Digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection

With the rapid development of computer technology and network communication technology, copyright protection caused by widely spread digital media has become the focus of attention in various fields. For digital media watermarking technology research emerge in endlessly, but the results are not idea...

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Autor principal:	Hongyan Xu
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	embedded intelligent edge detection zero watermarking algorithm copyright protection digital media algorithm robustness Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/0c292b1c23fb4dc6a5026847ef70f82a
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spelling	oai:doaj.org-article:0c292b1c23fb4dc6a5026847ef70f82a2021-11-12T02:19:39ZDigital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection10.3934/mbe.20213361551-0018https://doaj.org/article/0c292b1c23fb4dc6a5026847ef70f82a2021-08-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021336?viewType=HTMLhttps://doaj.org/toc/1551-0018With the rapid development of computer technology and network communication technology, copyright protection caused by widely spread digital media has become the focus of attention in various fields. For digital media watermarking technology research emerge in endlessly, but the results are not ideal. In order to better realize the copyright identification and protection, based on the embedded intelligent edge computing detection technology, this paper studies the zero watermark copyright protection algorithm of digital media. Firstly, this paper designs an embedded intelligent edge detection module based on Sobel operator, including image line buffer module, convolution calculation module and threshold processing module. Then, based on the embedded intelligent edge detection module, the Arnold transform of image scrambling technology is used to preprocess the watermark, and finally a zero watermark copyright protection algorithm is constructed. At the same time, the robustness of the proposed algorithm is tested. The image is subjected to different proportion of clipping and scaling attacks, different types of noise, sharpening and blur attacks, and the detection rate and signal-to-noise ratio of each algorithm are calculated respectively. The performance of the watermark image processed by this algorithm is evaluated subjectively and objectively. Experimental data show that the detection rate of our algorithm is the highest, which is 0.89. In scaling attack, the performance of our algorithm is slightly lower than that of Fourier transform domain algorithm, but it is better than the other two algorithms. The Signal to Noise Ratio of the algorithm is 36.854% in P6 multiplicative noise attack, 39.638% in P8 sharpening edge attack and 41.285% in fuzzy attack. This shows that the algorithm is robust to conventional attacks. The subjective evaluation of 33% and 39% of the images is 5 and 4. The mean values of signal to noise ratio, peak signal to noise ratio, mean square error and mean absolute difference are 20.56, 25.13, 37.03 and 27.64, respectively. This shows that the watermark image processed by this algorithm has high quality. Therefore, the digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection is more robust, and its watermark invisibility is also very superior, which is worth promoting.Hongyan Xu AIMS Pressarticleembedded intelligent edge detectionzero watermarking algorithmcopyright protectiondigital mediaalgorithm robustnessBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 6771-6789 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	embedded intelligent edge detection zero watermarking algorithm copyright protection digital media algorithm robustness Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	embedded intelligent edge detection zero watermarking algorithm copyright protection digital media algorithm robustness Biotechnology TP248.13-248.65 Mathematics QA1-939 Hongyan Xu Digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection
description	With the rapid development of computer technology and network communication technology, copyright protection caused by widely spread digital media has become the focus of attention in various fields. For digital media watermarking technology research emerge in endlessly, but the results are not ideal. In order to better realize the copyright identification and protection, based on the embedded intelligent edge computing detection technology, this paper studies the zero watermark copyright protection algorithm of digital media. Firstly, this paper designs an embedded intelligent edge detection module based on Sobel operator, including image line buffer module, convolution calculation module and threshold processing module. Then, based on the embedded intelligent edge detection module, the Arnold transform of image scrambling technology is used to preprocess the watermark, and finally a zero watermark copyright protection algorithm is constructed. At the same time, the robustness of the proposed algorithm is tested. The image is subjected to different proportion of clipping and scaling attacks, different types of noise, sharpening and blur attacks, and the detection rate and signal-to-noise ratio of each algorithm are calculated respectively. The performance of the watermark image processed by this algorithm is evaluated subjectively and objectively. Experimental data show that the detection rate of our algorithm is the highest, which is 0.89. In scaling attack, the performance of our algorithm is slightly lower than that of Fourier transform domain algorithm, but it is better than the other two algorithms. The Signal to Noise Ratio of the algorithm is 36.854% in P6 multiplicative noise attack, 39.638% in P8 sharpening edge attack and 41.285% in fuzzy attack. This shows that the algorithm is robust to conventional attacks. The subjective evaluation of 33% and 39% of the images is 5 and 4. The mean values of signal to noise ratio, peak signal to noise ratio, mean square error and mean absolute difference are 20.56, 25.13, 37.03 and 27.64, respectively. This shows that the watermark image processed by this algorithm has high quality. Therefore, the digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection is more robust, and its watermark invisibility is also very superior, which is worth promoting.
format	article
author	Hongyan Xu
author_facet	Hongyan Xu
author_sort	Hongyan Xu
title	Digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection
title_short	Digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection
title_full	Digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection
title_fullStr	Digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection
title_full_unstemmed	Digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection
title_sort	digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/0c292b1c23fb4dc6a5026847ef70f82a
work_keys_str_mv	AT hongyanxu digitalmediazerowatermarkcopyrightprotectionalgorithmbasedonembeddedintelligentedgecomputingdetection
_version_	1718431271643774976

Digital media zero watermark copyright protection algorithm based on embedded intelligent edge computing detection

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