Digital images are easily corrupted by attacks during transmission and most data hiding methods have limitations in resisting cropping and noise attacks. Aiming at this problem, we propose a robust image data hiding method based on multiple backups and pixel bit weight (PBW). Especially multiple backups of every pixel bit are pre-embedded into a cover image according to a reference matrix. Since different pixel bits have different weights, the most significant bits (MSBs) occupy more weights on the secret image than those of the least significant bits (LSBs). Accordingly, some backups of LSBs are substituted by the MSBs to increase the backups of MSBs so that the quality of the extracted secret image can be improved. Experimental results show that the proposed algorithm is robust to cropping and noise attacks for secret image.
QinC., ZhangW., CaoF., ZhangX. and ChangC.C., Separable reversible data hiding in encrypted images via adaptive embedding strategy with block selection, Signal Processing153 (2018), 109–122.
2.
YanC., TuY., WangX., ZhangY., HaoX., ZhangY. and DaiQ., STAT: Spatial-Temporal Attention Mechanism for Video Captioning, IEEE Transactions on Multimedia22(1) (2020), 229–241.
3.
QinC., ZhouQ., CaoF., DongJ. and ZhangX., Flexible lossy compression for selective encrypted image with image inpainting, IEEE Transactions on Circuits and Systems for Video Technology29 (2018), 3341–3355.
4.
TangZ., ZhangX. and ZhangS., Robust perceptual image hashing based on ring partition and NMF, IEEE transactions on knowledge and data engineering26(3) (2014), 711–724.
5.
TangZ., ZhangX., LiX. and ZhangS., Robust image hashing with ring partition and invariant vector distance, IEEE transactions on information forensics and security11(1) (2016), 200–214.
6.
ChumanT., SirichotedumrongW. and KiyaH., Encryption-Then-Compression Systems Using Grayscale-Based Image Encryption for JPEG Images, IEEE Transactions on Information Forensics and Security14(6) (2019), 1515–1525.
7.
WangZ. and MengX., Digital image information hiding algorithmresearch based on LDPC code,Article number:, EURASIP Journal on Image and Video Processing92 (2018).
8.
YuC., ZhangX., TangZ. and XieX., Separable and Error-Free Reversible Data Hiding in Encrypted Image Based on Two-Layer Pixel Errors, IEEE Access6 (2018), 76956–76969.
9.
QinC., JiP., ChangC., DongJ. and SunX., Non-uniform Watermark Sharing Based on Optimal Iterative BTC for Image Tampering Recovery, IEEE Multi Media25(3) (2018), 36–48.
10.
ZhangX. and WangS., Watermarking scheme capable of resisting sensitivity attack, IEEE Signal Processing Letters14 (2007), 125–128.
11.
LiuX., LinC. and YuanS., Blind Dual Watermarking for Color Images’ Authentication and Copyright Protection, IEEE Transactions on Circuits and Systems for Video Technology28(5) (2018), 1047–1055.
12.
TaoJ., LiS., ZhangX. and WangZ., Towards robust image steganography, IEEE Transactions on Circuits and Systems for Video Technology29 (2018), 594–600.
13.
YinZ., XiangY. and ZhangX., Reversible data hiding in encrypted images based on multi-MSB prediction and Huffman coding, IEEE Transactions on Multimedia22 (2019), 874–884.
14.
TianJ., Reversible data embedding using a difference expansion, IEEE Trans Circuits Syst Video Technol13(8) (2003), 890–896.
15.
QinC., ChangC., HuangY. and LiaoL., An inpainting-assisted reversible steganographic scheme using a histogram shifting mechanism, IEEE Trans Circuits Syst Video Technol23(7) (2013), 1109–1118.
16.
LabaichiA., Ashwak et al., Image steganography using least significant bit and secret map techniques, International Journal of Electrical and Computer Engineering10(1) (2020), 935–946.
17.
MsallamM.M., A Development of Least Significant Bit Steganography Technique, Iraqi Journal of Computers Communications Control and Systems Engineering20 (2020), 31–39.
18.
SoniN., SainiI., SinghB., An integer wavelet transform and pixel value differencing based feature specific hybrid technique for 2D ECG steganography with high payload capacity, Multimedia Tools and Applications, Published: 04 November 2020.
19.
HussainM., WahabA.W.A., HoA.T.S., JavedN. and JungK., A data hiding scheme using parity-bit pixel value differencing and improved rightmost digit replacement, Signal Processing-image Communication50 (2017), 44–57.
20.
ZhangX. and WangS., Efficient steganographic embedding by exploiting modification direction, IEEE Communications Letters10 (2006).
21.
KuoW., KuoS., WangC. and WuuL., High capacity data hiding scheme based on multi-bit encoding function, Optik127 (2016), 1762–1769.
22.
ChenM., et al., Analysis of current steganography tools: classifications & features, International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP’06), California, USA, (2006).
23.
AsliB.H.S., et al., Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure, IEEE Access8 (2020), 141342–141357.
24.
LiY., et al., Multi-Focus Image Fusion Using Geometric Algebra Based Discrete Fourier Transform, IEEE Access8 (2020), 60019–60028.
25.
BiH, et al., Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field, IEEE Transactions on Image Processing29 (2020), 6601–6614.
26.
NagA., et al., A novel technique for image steganography based on DWT and Huffman encoding, Int J Comput Sci Secur4(6) (2011), 561–570.
27.
HemalathaS., et al., A secure color image steganography in transform domain, Int J Cryptography Inf Secur3(1) (2013), 17–24.
28.
AtawnehS., AlmomaniA., AlH.B., SumariP. and GuptaB., Secure and imperceptible digital image steganographic algorithm based on diamond encoding in DWT domain, Multimedia Tools Appl76(18) (2017), 18451–18472.
29.
ValandarM., AyubiP. and BaraniM., A new transform domain steganography based on modified logistic chaotic map for color images, Journal of Information Security and Applications34 (2017), 142–151.
30.
KumarV. and KumarD., A modified DWT-based image steganography technique, Multimedia Tools and Applications77(11) (2018), 13279–13308.
31.
ZhangH. and HuL., A data hiding scheme based on multidirectional line encoding and integer wavelet transform, Signal Processing: Image Communication78 (2019), 331–344.
32.
LeiY., SunZ., WangX., et al., An anti-cut data hiding algorithm, Microelectronics and Computer23(2) (2014) 132–136. (In Chinese)
33.
MandlR., Orthogonal Latin squares: an application of experiment design to compiler testing, Communications of The ACM28(10) (1985), 1054–1058.
34.
ZhangX., et al., Robust data hiding with multiple backups and optimized reference matrix, Journal of Intelligent and Fuzzy Systems39(5) (2020), 6965–6977.
