Author(s)

Ke Luo ¹, Renzhi Yuan ¹

Affiliation(s)

¹ Institute of Library, Shaoyang University, Shaoyang, Hunan, China

Corresponding Author

Ke Luo

ABSTRACT

In order to fully utilize each pixel within an image block, improve the embedding capability, and achieve high hiding quality of reversible data hiding algorithm, a pixel-ordered information hiding scheme that incorporates speed dial embedding strategy and block subdivision technique is proposed. Firstly, the principle of HiSB and LoSB is used to split the original image into quotient image and remainder image, and then the quotient image is divided into 3×3 quotient blocks, and the quotient blocks are subdivided into blocks with the speed dial embedding strategy, and the difference is calculated after sub-block sorting, and the secret data is embedded according to the predicted difference. The experimental results show that each image block can be embedded with a maximum of 8 bits of data, and its embedding block ratio reaches 89.77% on average, which effectively improves the embedding capacity while the quality of the stego image remains relatively stable, and is also robust against unintended attacks on image processing.

KEYWORDS

Pixel Value Order, Reversible Data Hiding, Speed Dial, Block Subdivision

CITE THIS PAPER

Ke Luo, Renzhi Yuan, A High Capacity Reversible Data Hiding Technique with Improved Pixel Value Ordering Method. Computing, Performance and Communication Systems (2022) Vol. 6: 29-40. DOI: http://dx.doi.org/10.23977/cpcs.2022.060204.

REFERENCES

[1] Shi Y Q, Li X, Zhang X. (2016) Reversible Data Hiding: Advances in the Past Two Decades. IEEE Access, 4:3210-3237.
[2] Gouenou, Coatrieux, Clara. (2009) Reversible Watermarking for Knowledge Digest Embedding and Reliability Control in Medical Images. IEEE Trans, 13, 2, 158–165. 
[3] Zhang Hongchao. (2020) Reversible Data Hiding Method for Enhancing Medical Image Contrast and Tampering Detection. Modern Information Technology, 42, 3, 55-58, 64.
[4] JIANG Fei, LI Jun, QIAN Zhen-xing. (2015) Reversible Data Hiding in Encrypted Medical Images with Improved Embedding Capacity. JOURNAL OF APPLIED SCIENCES, 33, 6, 644-654.
[5] Menendez O A, Feregrino U C. (2019) A Survey on Reversible Watermarking for Multimedia Content: A Robustness Overview. IEEE Access, 7, 132662-132681.
[6] J. Tian, (2003) Reversible Data Embedding Using a Difference Expansion. IEEE Trans. Circuits Syst. Video Technol, 13: 890–896.
[7] Z. Ni, Y. Q. Shi, N. Ansari, W. Su. (2006) Reversible Data Hiding, IEEE Trans. Circuits Syst. Video Technol. 16: 354–362.
[8] M. Thodi, J. J. Rodríguez. (2007) Expansion Embedding Techniques for Reversible Watermarking. IEEE Trans. Image Processing. 16: 721–730.
[9] B. Ou, X. Li, Y. Zhao, R. Ni, Y. Shi. (2013) Pairwise Prediction-error Expansion for Efficient Reversible Data Hiding. IEEE Trans. Image Process, 22: 5010–5021.
[10] X. Li, J. Li, B. Li, B. Yang. (2013) High-fidelity Reversible Data Hiding Scheme Based on Pixel-Value-Ordering and Prediction-error Expansion. Signal Process. 93, 198–205.
[11] F. Peng, X. Li, B. Yang. (2014) Improved PVO-based Reversible Data Hiding. Digital Signal Processing, 25: 255–265.
[12] Bo. Ou, X. Li, Y. Zhao, R. Ni. (2014) Reversible Data Hiding Using Invariant Pixel-valueordering and Prediction-error Expansion. Signal Process: Image Commun, 29, 760–772.
[13] X. Wang, J. Ding, Q. Pei. (2015) A Novel Reversible Image Data Hiding Scheme Based on Pixel Value Ordering and Dynamic Pixel Block Partition. Information sciences, 310, 16-35.
[14] X. Qu, H. J. Kim. (2015) Pixel-based Pixel Value Ordering Predictor for High-fidelity Reversible Data Hiding. Signal Processing, 111, 249-260.
[15] W. Wang, J. Ye, T. Wang, W. Wang. (2017) Reversible Data Hiding Scheme Based on Significant-bit-difference Expansion. IET Image Process, 11, 1002-1014.

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