数字水印
量化(信号处理)
嵌入
水印
计算机科学
音频信号
算法
语音识别
峰值信噪比
理论计算机科学
人工智能
语音编码
图像(数学)
作者
Junren Qin,Shanxiang Lyu,Jiarui Deng,Xingyuan Liang,Shijun Xiang,Hao Chen
出处
期刊:IEEE Transactions on Dependable and Secure Computing
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:: 1-12
标识
DOI:10.1109/tdsc.2023.3314612
摘要
Existing reversible audio watermarking (RAW) techniques are often vulnerable to intentional or even unintentional attacks on the cover object. This paper proposes a robust RAW scheme based on lattices, which is referred to as Meet-in-the-Middle Embedding (MME). In MME, the lattice quantization errors are properly scaled and added back to the quantized host signals such that the receiver can estimate the cover. Scaling factor serves as a key factor to the reversibility of MME, whose feasible range is rigorously justified. Both theoretically and experimentally, we demonstrate the superiority of MME to improved quantization index modulation (IQIM) in terms of signal-to-watermark ratio (SWR) and generalized signal-to-noise ratio (GSNR). Moreover, simulations show that MME also outperforms other state-of-the-arts in SWR, objective difference grade (ODG), and bit error rate (BER).
科研通智能强力驱动
Strongly Powered by AbleSci AI