A novel high-performance reversible data hiding scheme using SMVQ and improved locally adaptive coding method |
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| Affiliation: | 1. School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, PR China;2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, PR China;1. School of Computer & Information, Hefei University of Technology, Hefei 230009, China;2. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China;3. Institute of Health Sciences, Anhui University, Hefei, Anhui 230601, China;1. University of Electronic Science and Technology of China, 2006 Xiyuan Avenue, Chengdu 611731, China;2. Microsoft Research Redmond, One Microsoft Way, Redmond, WA 98052, USA;1. Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei 10617, Taiwan;2. Department of Computer Science and Information Engineering, National Taiwan University, Taipei 10617, Taiwan |
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| Abstract: | Reversible data hiding is a method that not only embeds secret data but also reconstructs the original cover image without distortion after the confidential data are extracted. In this paper, we propose novel reversible data hiding scheme that can embed high capacity of secret bits and recover image after data extraction. Our proposed scheme depends on the locally adaptive coding scheme (LAC) as Chang&Nguyen’s scheme and SMVQ scheme. Experimental results show that the compression rate of our proposed scheme is 0.33 bpp on average. To embed secret bits we propose the normal-hiding scheme and the over-hiding scheme which have an average embedding rate of 2.01 bpi and 3.01 bpi, more than that of Chang&Nguyen’s scheme (1.36 bpi). The normal-hiding scheme and the over-hiding scheme also has high embedding efficiency of 0.28 and 0.36 on average, which are better than that of Chang&Kieu’s scheme (0.12), Chang&Nguyen’s scheme (0.18) and Chang&Nguyen’s scheme (0.16). |
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| Keywords: | Data hiding Image compression Vector quantization (VQ) Side-match vector quantization (SMVQ) Reversible data hiding Locally adaptive coding scheme (LAC) High embedding rate Steganography Threshold list |
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