郭艳卿

(教授)

 博士生导师  硕士生导师
学位:博士
性别:男
毕业院校:大连理工大学
所在单位:未来技术学院/人工智能学院
电子邮箱:guoyq@dlut.edu.cn

论文成果

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Optimal M-PAM Spread-Spectrum Data Embedding with Precoding

发表时间:2019-03-13 点击次数:

论文名称:Optimal M-PAM Spread-Spectrum Data Embedding with Precoding
论文类型:期刊论文
发表刊物:CIRCUITS SYSTEMS AND SIGNAL PROCESSING
收录刊物:SCIE、EI
卷号:35
期号:4
页面范围:1333-1353
ISSN号:0278-081X
关键字:Authentication; Data embedding; Data hiding; Dirty paper coding; Information hiding; Spread-spectrum embedding; Tomlinson-Harashima precoding; Watermarking
摘要:We consider M-level pulse amplitude modulation (M-PAM) spread-spectrum (SS) data embedding in transform domain host data. The process of data embedding can be viewed as delivering information through the channel including additive interference from host that is known to the embedder. We first utilize the knowledge of second-order statistics of host to design optimal carrier that maximizes the signal-to-interference-plus-noise ratio at the decoder end. Then, inspired by Tomlinson-Harashima precoding used in communication systems, a symbol-by-symbol precoding scheme is developed for M-PAM SS embedding to alleviate the impact of the interference which is explicitly known to embedder. For any given embedding carrier and host data, we aim at designing precoding algorithm to minimize the receiver bit error rate (BER) with any given host distortion budget, and conversely minimize the distortion at any target BER. Experimental studies demonstrate that the proposed precoded SS embedding approach can significantly improve BER performance over conventional SS embedding schemes.
发表时间:2016-04-01