ECSS: High-Embedding-Capacity Audio Watermarking with Diversity Reception

doi:10.3390/e24121843

CASIA OpenIR > 数字内容技术与服务研究中心 > 版权智能与文化计算

	ECSS: High-Embedding-Capacity Audio Watermarking with Diversity Reception
	Wu, Shiqiang1,2 ; Huang, Ying2 ; Guan, Hu2 ; Zhang, Shuwu2 ; Liu, Jie2
发表期刊	ENTROPY
	2022-12-01
卷号	24 期号:12 页码:23
通讯作者	Liu, Jie(jie.liu@ia.ac.cn)
摘要	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 high embedding capacity and strong robustness while the imperceptibility is guaranteed. We experimentally verify the effectiveness of the ECSS algorithm and the DR mechanism, evaluate the performance of the proposed algorithm against common signal processing attacks, and compare the performance with existing high-capacity algorithms. The experiments demonstrate that the proposed algorithm achieves a high embedding capacity with applicable imperceptibility and robustness.
关键词	digital audio watermarking embedding capacity spread spectrum diversity reception
DOI	10.3390/e24121843
关键词[WOS]	QUANTIZATION INDEX MODULATION ; SPREAD-SPECTRUM ; COMMUNICATION ; LIMITS
收录类别	SCI
语种	英语
资助项目	National Key RD Program ; Key R&D Program of Shanxi[2020YFB1406900] ; [202102010101004]
项目资助者	National Key RD Program ; Key R&D Program of Shanxi
WOS研究方向	Physics
WOS类目	Physics, Multidisciplinary
WOS记录号	WOS:000902602800001
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/51037
专题	数字内容技术与服务研究中心_版权智能与文化计算
通讯作者	Liu, Jie
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 101408, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100045, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wu, Shiqiang,Huang, Ying,Guan, Hu,et al. ECSS: High-Embedding-Capacity Audio Watermarking with Diversity Reception[J]. ENTROPY,2022,24(12):23.
APA	Wu, Shiqiang,Huang, Ying,Guan, Hu,Zhang, Shuwu,&Liu, Jie.(2022).ECSS: High-Embedding-Capacity Audio Watermarking with Diversity Reception.ENTROPY,24(12),23.
MLA	Wu, Shiqiang,et al."ECSS: High-Embedding-Capacity Audio Watermarking with Diversity Reception".ENTROPY 24.12(2022):23.