A further study of large payloads matrix embedding

doi:10.1016/j.ins.2015.06.046

CORC > 北京大学 > 信息科学技术学院

	A further study of large payloads matrix embedding
	Li, Xiaolong ; Cai, Siren ; Zhang, Weiming ; Yang, Bin
刊名	INFORMATION SCIENCES
	2015
关键词	Steganography Matrix embedding Embedding efficiency Matrix construction Sub-optimal search SIGNIFICANT-BIT SUBSTITUTION WET PAPER STEGANOGRAPHY CODES ALGORITHM STRATEGY IMAGES
DOI	10.1016/j.ins.2015.06.046
英文摘要	Matrix embedding (ME) is a well-known steganographic method that can improve the embedding efficiency. In ME, the sender and recipient agree in advance on a parity check matrix (PCM) of a binary linear code and utilize the PCM for data embedding. At the decoder side, the embedded message can be extracted by the recipient as the syndrome of the received stego data. The PCM can be taken as any full-ranked matrix and its selection is actually crucial to the embedding performance. In this paper, by extending some previous works, we propose a novel scheme to further improve the embedding efficiency of large payloads ME. First, we utilize a new and specifically designed matrix for ME. Then, instead of finding a coset leader as the modification to the cover which is time consuming, we turn to finding a vector in the coset with relatively small Hamming weight. By the proposed approach, effective and practically feasible large payloads ME can be realized, and extensive experiments show that, a significant increase of embedding efficiency is achieved compared with some state-of-the-art works. (C) 2015 Elsevier Inc. All rights reserved.; National High-tech Technology R&D Program (863 Program) of China [2013AA013504]; National Natural Science Foundation of China [61471009]; Natural Science Foundation of China [61170234, 60803155]; Chinese Academy of Sciences [XDA06030601]; SCI(E); EI; ARTICLE; lixiaolong@pku.edu.cn; caisiren@pku.edu.cn; zhangwm@ustc.edu.cn; yang_bin@pku.edu.cn; 257-269; 324
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/415220]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, Xiaolong,Cai, Siren,Zhang, Weiming,et al. A further study of large payloads matrix embedding[J]. INFORMATION SCIENCES,2015.
APA	Li, Xiaolong,Cai, Siren,Zhang, Weiming,&Yang, Bin.(2015).A further study of large payloads matrix embedding.INFORMATION SCIENCES.
MLA	Li, Xiaolong,et al."A further study of large payloads matrix embedding".INFORMATION SCIENCES (2015).