An IPVO-based reversible data hiding scheme using floating predictors

Rong Li; Xiangyang Li; Yan Xiong; An Jiang; David Lee

doi:10.3934/mbe.2019266

Mathematical Biosciences and Engineering, 2019, 16(5): 5324-5345. doi: 10.3934/mbe.2019266. Research article Special Issues

Export file:

Format

RIS(for EndNote,Reference Manager,ProCite)
BibTex
Text

Content

Citation Only
Citation and Abstract

An IPVO-based reversible data hiding scheme using floating predictors

Rong Li, Xiangyang Li, Yan Xiong, An Jiang, David Lee

1 School of Computer Science, Guangdong Agriculture Industry Business Polytechnic, Guangzhou, 510507, China
2 Institute of Computer Application, Guangdong Agriculture Industry Business Polytechnic, Guangzhou, 510507, China
3 School of Information Technology and Engineering, University of Ottawa, Ottawa, Canada

Received: , Accepted: , Published:

Special Issues: Information Multimedia Hiding & Forensics based on Intelligent Devices

Abstract Full Text(HTML) Figure/Table Related pages

This work optimizes an improved high-fidelity reversible data hiding scheme of Peng et al. which is based on improved pixel-value-ordering (IPVO) and prediction-error expansion. In Peng et al.’s method, the difference between the maximum and second largest value (or, the minimum and second smallest value) of a block is defined considering the pixel locations of maximum and second the largest value (or, the pixel locations of minimum and second the smallest value). When the difference between the maximum and second largest value (or, the minimum and second smallest value) of a block is equal to 0 or 1, the block can be exploited to embed data. Otherwise, the block should be shifted or remain unchanged. However, different prediction-error used to embed information can lead to different histogram modification and different pixel shift rate, to further reduces the change in the carrier image. In this work, we list all the different prediction-error, which are used as the selection object for the embedded error when hiding information. As a prerequisite of meeting the demand of the embedding capacity, some appropriate prediction-errors are selected for embedding to reduce the number of the pixel shifted in the marked image as small as possible. An IPVO-based reversible data hiding scheme with floating predictor is also extended. Experimental results show that the proposed scheme yields a superior performance than the state-of-the-art works, under the condition of same embedding capacity, especially for relatively rough images.

Figure/Table

Supplementary

Article Metrics

Keywords: Reversible data hiding; optimization; floating prediction-error; improved pixel-value-ordering; PSNR

Citation: Rong Li, Xiangyang Li, Yan Xiong, An Jiang, David Lee. An IPVO-based reversible data hiding scheme using floating predictors. Mathematical Biosciences and Engineering, 2019, 16(5): 5324-5345. doi: 10.3934/mbe.2019266

References:

1. J. Fridrich. M. Goljan and R. Du, Lossless data embedding-new paradigm in digital watermarking, EURASIP J. Adv. Signal Process., 2 (2002), 185–196.
2. M. U. Celik, G. Sharma and A. M. Tekalp, Lossless generalized-LSB data embedding, IEEE Transact. Image Process., 14 (2005), 253–266.
3. J. Tian, Reversible data embedding using a difference expansion, IEEE Transact. Circuit. Syst. Video Technol., 13 (2003), 890–896.
4. A. M. Alattar, Reversible watermark using the difference expansion of a generalized integer transform, IEEE Transact. Image Process., 13 (2004), 1147–1156.
5. Z. Ni, Y.Q. Shi and N. Snsari, Reversible data hiding, IEEE Transact. Circuit. Syst. Video Technol., 16 (2006), 354–362.
6. C. Kim, Content-based image copy detection, Signal Process. Image Commun., 18 (2003), 169 –184.
7. S. K. Lee, Y. H. Suh and Y. S. Ho, Reversible image authentication based on water-marking, Process IEEE ICME, (2006), 1321–1324.
8. X. Li, B. Li and B. Yang, General framework to histogram-shifting-based reversible data hiding, IEEE Transact. Image Process., 23 (2013), 2181–2191.
9. D. M. Thodi and J. J. Rodrigues, Expansion embedding techniques for reversible watermarking, IEEE Transact. Image Process., 16 (2007), 721–730.
10. D. M. Thodi and J. J. Rodrigues, Reversible watermarking by prediction-error expansion, IEEE Southwest Symposium on Image Analysis & Interpretation IEEE, (2004), 21–25.
11. H. W. Tseng and C. P. Hsieh, Prediction-based reversible data hiding, Inform. Sci., 179 (2009), 2460–2469.
12. C. F. Lee, H. L. Chen and H. K. Tso, Embedding capacity raising in reversible data hiding based on prediction of difference expansion, J. Syst. Software, 83(2010), 1864–1872.
13. Q. Shen, G. Liu and W. Liu, Adaptive image steganography based on pixel selection, 2015 IEEE International Conference on Progress in Informatics & Computing, 2016.
14. Y. Hu, H. K. Lee and J. Li, De-based reversible data hiding with improved overflow location map, IEEE Transact. Circuits Syst. Video Technol., 19 (2009), 250–260.
15. X. Li, B. Yang and T. Zeng, Efficient reversible watermarking based on adaptive prediction-error expansion and pixel selection, IEEE Transact. Image Process., 20 (2011), 3524–3533.
16. D. Coltuc, Improved embedding for prediction-based reversible watermarking, IEEE Transact. Inform. Forens. Secur., 6 (2011), 873–882.
17. D. Coltuc, Low distortion transform for reversible watermarking, IEEE Transact. Image Process., 21 (2012), 412–417.
18. X. Li, J. Li and B. Li, High-fidelity reversible data hiding scheme based on pixel-value-ordering and prediction-error expansion, Signal Process., 93(2013), 198–205.
19. B. Ou, X. Li and Y. Zhao, Reversible data hiding using invariant pixel value ordering and prediction-error expansion, Signal Process., 29 (2013), 760–772.
20. X. Qu and H. J. Kim, Pixel-based pixel value ordering predictor for high-fidelity reversible data hiding, Signal Process., 111(2015), 249–260.
21. F. Peng, X. Li and B. Yang, Improved PVO-based reversible data hiding, Digital Signal Process., 25 (2014), 255–265.
22. P. Subitha and V. Vaithiyanathan, Novel reversible pixel-value-ordering technique for secret concealment, Indian J. Sci. Technol., 8 (2015), 628–636.
23. K. H. Jung, A high-capacity reversible data hiding scheme based on sorting and prediction in digital images, Mult. Tools Appl., 76(2017), 13127–13137.
24. W. He, G. Xiong and S. Weng, Reversible data hiding using multi-pass pixel value ordering and prediction-error expansion, Inform. Sci., 467(2018), 784–799.
25. Y. Du, Z. X. Yin and X. P. Zhang, Improved lossless data hiding for jpeg images based on histogram modification, Comput. Mater. Cont., 55(2018), 495–507.
26. X. T. Duan, H. X. Song and C. Qin, Coverless steganography for digital images based on a generative model, Comput. Mater. Cont., 55(2018), 483–493.
27. L. Z. Xiong and Y. Q. Shi, On the privacy-preserving outsourcing scheme of reversible data hiding over encrypted image data in cloud computing, Comput. Mater. Cont., 55(2018), 523–539.
28. M. J. Weinberger, G. Seroussi and G. Sapiro, The LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS, IEEE Transact. Image Process., 9 (2000), 1309–1324.
29. X. Wu and N. Memon, Context-based, adaptive, lossless image coding, IEEE Transact. Commun., 45 (1997), 437–444.
30. V. Sachnev, H. J. Kim and J. Nam, Reversible watermarking algorithm using sorting and prediction, IEEE Transact. Circuit. Syst. Video Technol., 19 (2009), 989–999.

show all references

Reader Comments

your name: * your email: *

Download full text in PDF

Associated material

Metrics