Expanded Generalized Integer Transform Based Lossless Informaiton Hiding Method
Qiu Ying-qiang①② Yu Lun①
①(Research Academy of Digital Media, Fuzhou University, Fuzhou 350002, China) ②(College of Information Science & Engineering, Huaqiao University, Xiamen 361021, China)
To make the generalized interger transform used for lossless information hiding more generalized and improve the data embedded capacity, a new lossless information hiding method based on expanded generalized integer transform is proposed for image. By introducing the variable parameter m and expanding the generalized integer transform, m(n-1) bit data can be embedded into one image block with n pixels, improving the embedded capacity when m＞1. Besides, 5 the method uses a new data embedding strategy to improve the quality of the hidded image. Compared with current integer transform algorithms, there is a certain improvement in the embedded capacity and the quality of hidded image with the proposed algorithm. The proposed method can be used to some important and sensitive areas, i.e. military comunication, healthcare, and law-enforcement, after extracted the embedded secret data, the cover image can be recovered losslessly.
Khan A, Siddiqa A, Munib S, et al.. A recent survey of reversible watermarking techniques[J]. Information Sciences, 2014, 279(20): 251-272.
[2]
Seyed M M and Alireza N. Watermarking techniques used in medical images: a survey[J]. Journal of Digital Imaging, 2014, 27(6): 714-729.
[3]
Celik M U, Sharma G, Tekalp A M, et al.. Lossless generalized-LSB data embedding[J]. IEEE Transactions on Image Processing, 2005, 14(2): 253-266.
[4]
Ni Z C, Shi Y Q, Ansari N, et al.. Reversible data hiding[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2006, 16(3): 354-362.
[5]
Li Xiao-long, Zhang Wei-ming, Gui Xin-lu, et al.. A novel reversible data hiding scheme based on two-dimensional difference-histogram modification[J]. IEEE Transactions on Information Forensics and Sercurity, 2013, 8(7): 1091-1100.
[6]
Chang I, Hu Y, Chen W, et al.. High capacity reversible data hiding scheme based on residual histogram shifting for block truncation coding[J]. Signal Processing, 2015, 108(3): 376-388.
[7]
Tian J. Reversible data embedding using a difference expansion[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2003, 13(8): 890-896.
[8]
Alattar A M. Reversible watermark using the difference expansion of a generalized integer transform[J]. IEEE Transactions on Image Processing, 2004, 13(8): 1147-1156.
[9]
Thodi D M and Rodriguez J J. Expansion embedding techniques for reversible watermarking[J]. IEEE Transactions on Image Processing, 2007, 16(3): 721-730.
[10]
Dragoi I and Coltuc D. Local-prediction-based difference expansion reversible watermarking[J]. IEEE Transactions on Image Processing, 2014, 23(4): 1779-1790.
[11]
Wang Xiang, Li Xiao-long, Yang Bin, et al.. Efficient generalized integer transform for reversible watermarking[J]. IEEE Signal Processing Letters, 2010, 17(6): 567-570.
[12]
Wang Chao, Li Xiao-long, and Yang bin. High capacity reversible image watermarking based on integer transform[C]. Proceeding of 2010 IEEE 17th International Conference on Image Processing, Hong Kong, China, 2010: 217-220.
[13]
Peng Fei, Li Xiao-long, and Yang Bin. Adaptive reversible data hiding scheme based on integer transform[J]. Signal Processing, 2012, 92(1): 54-62.
Zhang Qiu-yu, Sun Yuan, and Yan Yan. A reversible watermarking algorithm based on block adaptive compressed sensing[J]. Journal of Electronics & Information Technology, 2013, 35(4): 797-804.
Qiu Ying-qiang and Yu Lun. Adaptive reversible image watermarking method based on integer transform[J]. Journal of Electronics & Information Technology, 2014, 36(6): 1278-1284.
