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

doi:10.3390/e24121843

CORC > 自动化研究所 > 中国科学院自动化研究所 > 数字内容技术与服务研究中心 > 新媒体服务与管理技术

	ECSS: High-Embedding-Capacity Audio Watermarking with Diversity Reception
	Wu, Shiqiang 1,2; Huang, Ying 1; Guan, Hu 1; Zhang, Shuwu 1; Liu, Jie 1
刊名	ENTROPY
	2022-12-01
卷号	24 期号:12 页码:23
关键词	digital audio watermarking embedding capacity spread spectrum diversity reception
DOI	10.3390/e24121843
通讯作者	Liu, Jie(jie.liu@ia.ac.cn)
英文摘要	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.
资助项目	National Key RD Program ; Key R&D Program of Shanxi[2020YFB1406900] ; [202102010101004]
WOS关键词	QUANTIZATION INDEX MODULATION ; SPREAD-SPECTRUM ; COMMUNICATION ; LIMITS
WOS研究方向	Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:000902602800001
资助机构	National Key RD Program ; Key R&D Program of Shanxi
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/51036]
专题	数字内容技术与服务研究中心_新媒体服务与管理技术
通讯作者	Liu, Jie
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100045, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 101408, Peoples R China
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.