基于多元线性回归的自适应图像可逆信息隐藏误差预测算法

doi:10.3969/j.issn.0255-8297.2018.02.014

Abstract

Abstract:

An adaptive error prediction method based on multiple linear regression algorithm to improve the reversible information hiding capacity is proposed. The inner relationship among pixels around the object pixel is learned adaptively based on the consistency feature of pixels distributing in local area of natural images, and a multiple linear regression function matrix is built to express the relationship. The object pixel is predicted accurately with the linear function learned from its neighboring pixels, rather than simply with the arithmetic combination of surrounding pixels. Experimental results show that the multiple linear regression based adaptive image error prediction algorithm can effectively enhance the reversible data embedding capability compared to other advanced error prediction methods.

Key words: multiple linear regression, reversibility, reversible data hiding, embedding capacity

CLC Number:

TP391

WANG Xiao-yu, MA Bin, LI Jian, SHI Yun-qing. Adaptive Image Reversible Data Hiding Error Prediction Algorithm Based on Multiple Linear Regression[J]. Journal of Applied Sciences, 2018, 36(2): 362-370.

References

[1] Shi Y Q, Li X, Zhang X. Reversible data hiding:advances in the past two decades[J]. IEEE Access, 2016(4):3210-3237.
[2] 邱应强,余轮. 基于整数变换的自适应图像可逆水印方法[J]. 电子与信息学报,2014, 36(6):1278-1284. Qiu Y Q, Yu L. Adaptive image reversible watermarking algorithm based on integer transformation[J]. Jouranl of Electronics & Information Technology, 2014, 36(6):1278-1284. (in Chinese)
[3] Tian J. Reversible data embedding using a difference expansion[J]. IEEE Transactions on Circuits & Systems for Video Technology, 2003, 13(8):890-896.
[4] Ni Z, Shi Y Q, Ansari N. Reversible data hiding[J]. IEEE Transactions on Circuits & Systems for Video Technology, 2006, 16(3):354-362.
[5] Lin C C, Hsueh N L. A lossless data hiding scheme based on three-pixel block differences[J]. Pattern Recognition, 2008, 41(4):1415-1425.
[6] Thidi D M, Rodriguez J J. Expansion embedding techniques for reversible watermarking[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2007, 16(3):721-730.
[7] Yang C H, Yang M H. Improving histogram-based reversible data hiding by interleaving predictions[J]. IET Image Processing, 2010, 4(4):223-234.
[8] Sachnev V, Kim H J, Nam J. Reversible watermarking algorithm using sorting and prediction[J]. IEEE Transactions on Circuits & Systems for Video Technology, 2009, 19(7):989-999.
[9] 姜传贤,杨铁军,董明刚. 基于线性空间隐藏模型的可逆图像水印算法[J]. 自动化学报,2014, 40(10):2324-2333. Jiang C X, Yang T J, Dong M G. Reversible image watermarking algorithm based on linear space hiding model[J]. Acta Automatica sinica, 2014, 40(10):2324-2333. (in Chinese)
[10] Dragoi I C, Coltuc D. Local-prediction-based difference expansion reversible watermarking[J]. IEEE Transactions on Image Processing, 2014, 23(4):1779-1790.
[11] Ma B, Shi Y Q. A reversible data hiding scheme based on code division multiplexing[J]. IEEE Transactions on Information Forensics and Security, 2016, 11(9):1914-1927.

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Adaptive Image Reversible Data Hiding Error Prediction Algorithm Based on Multiple Linear Regression

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