A novel reversible data hiding scheme by introducing current state codebook and prediction strategy for joint neighboring coding

• Published in: Multimedia tools and applications Vol. 76; no. 24; pp. 26153 - 26176
• Main Authors: Wang, Lingfei, Pan, Zhibin, Zhu, Ruoxin
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2017; Springer Nature B.V
• Subjects: Coding; Computer Communication Networks; Computer Science; Data compression; Data Structures and Information Theory; Efficiency; Embedding; Multimedia; Multimedia Information Systems; Performance evaluation; Sensors; Special Purpose and Application-Based Systems; Side-match vector quantization (SMVQ); ); Reversible data hiding (RDH); State codebook; Median edge detector (MED) prediction; Joint neighboring coding (JNC)
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-016-4000-3

Reversible data hiding (RDH) in compression domain is an important research issue in the security of digital multimedia. Obtaining a high embedding rate and a low compression rate are the main goals of compression domain RDH. This paper proposes a novel RDH scheme to improve joint neighboring coding (JNC) scheme. In embedding process, the first index SC 1 st in current state codebook ( SC ) and median edge detector (MED) prediction P med are exploited. These two parameters are employed to replace the right-up and left-up neighboring SMVQ indices, which have lower correlation with the current index. As a result, a more concentrated distribution of difference “ d ” is obtained. Difference “ d ” is computed by the difference between the current SMVQ index and its left, upper neighboring indices, P med and SC 1 st after embedding secret bits. The experimental results show that our work achieves the average compression rate of 0.45/0.51/0.57 bpp and the average embedding efficiency of 0.28/0.36/0.43 after embedding 2/3/4 bits secret data into each SMVQ index. As demonstrated in the comparative results, it can be observed that the proposed scheme outperforms the other previous works.