Research article Special Issues

AMBTC based high payload data hiding with modulo-2 operation and Hamming code

  • Received: 29 April 2019 Accepted: 14 July 2019 Published: 29 August 2019
  • An efficient data hiding method with modulo-2 operation and Hamming code (3, 2) based on absolute moment block truncation coding (AMBTC) is proposed. In order to obtain good data hiding performance, different textures are assigned to different embedding strategies. The AMBTC compressed codes are divided into smooth and complex blocks according to texture. In the smooth block, the secret data and the four most significant bits plane of the two quantization levels are calculated using modulo-2 operation to replace the bitmap in order to improve the security of data transmission. Moreover, Hamming code (3, 2) is used to embed the two additional secret bits in the three significant bits planes of the two quantization levels. In the complex block, one secret bit is embedded by swapping the order of two quantization levels and flipping the bitmap. Experimental results show that the proposed method achieves higher capacity than the existing data hiding methods and maintains good visual quality.

    Citation: Li Li, Min He, Shanqing Zhang, Ting Luo, Chin-Chen Chang. AMBTC based high payload data hiding with modulo-2 operation and Hamming code[J]. Mathematical Biosciences and Engineering, 2019, 16(6): 7934-7949. doi: 10.3934/mbe.2019399

    Related Papers:

  • An efficient data hiding method with modulo-2 operation and Hamming code (3, 2) based on absolute moment block truncation coding (AMBTC) is proposed. In order to obtain good data hiding performance, different textures are assigned to different embedding strategies. The AMBTC compressed codes are divided into smooth and complex blocks according to texture. In the smooth block, the secret data and the four most significant bits plane of the two quantization levels are calculated using modulo-2 operation to replace the bitmap in order to improve the security of data transmission. Moreover, Hamming code (3, 2) is used to embed the two additional secret bits in the three significant bits planes of the two quantization levels. In the complex block, one secret bit is embedded by swapping the order of two quantization levels and flipping the bitmap. Experimental results show that the proposed method achieves higher capacity than the existing data hiding methods and maintains good visual quality.


    加载中


    [1] F. A. P. Petitcolas, R. J. Anderson and M. G. Kuhn, Information hiding-a survey, Proc. IEEE, 87 (1999), 1062–1078.
    [2] D. Xiao, J. Liang, Q. Ma, et al., High capacity data hiding in encrypted image based on compressive sensing for nonequivalent resources, CMC Comput. Mater. Continua, 58 (2019), 1–13.
    [3] Y. Du, Z. Yin and X. Zhang, Improved lossless data hiding for JPEG images based on histogram modification, CMC Comput. Mater. Continua, 55 (2018), 495–507.
    [4] Y. Chen, B. Yin, H. He, et al., Reversible data hiding in classification-scrambling encrypted-image based on iterative recovery, CMC Comput. Mater. Continua, 56 (2018), 299–312.
    [5] J. W. Wang, T. Li, X. Y. Luo, et al., Identifying computer generated images based on quaternion central moments in color quaternion wavelet domain, IEEE Trans. Circuits Syst. Video Technol., (2018).
    [6] T. Qiao, R. Shi, X. Luo, et al., Statistical model-based detector via texture weight map: Application in re-sampling authentication, IEEE Trans. Multimedia, 21 (2018), 1077–1092.
    [7] J. Fridrich, M. Goljan and R. Du, Detecting LSB steganography in color and gray-scale images, IEEE Multimedia, 8 (2001), 22–28.
    [8] M. Omoomi, S. Samavi and S. Dumitrescu, An efficient high payload ±1 data embedding scheme, Multimedia Tools Appl., 54 (2011), 201–218.
    [9] Y. Zhang, C. Qin, W. Zhang, et al., On the fault-tolerant performance for a class of robust image steganography, Signal Process., 146 (2018), 99–111.
    [10] Y. Ma, X. Luo, X. Li, et al., Selection of rich model steganalysis features based on decision rough set α-positive region reduction, IEEE Trans. Circuits Syst. Video Technol., 29 (2018), 336–350.
    [11] W. Luo, F. Huang and J. Huang, Edge adaptive image steganography based on LSB matching revisited, IEEE Trans. Inf. Forensics Secur., 5 (2010), 201–214.
    [12] W. Hong, Adaptive image data hiding in edges using patched reference table and pair-wise embedding technique, Inf. Sci., 221 (2013), 473–489.
    [13] V. Kumar and D. Kumar, A modified DWT-based image steganography technique, Multimedia Tools Appl., 77 (2018), 13279–13308.
    [14] C. C. Lin, C. C. Chang and Y. H. Chen, A novel SVD-based watermarking scheme for protecting rightful ownership of digital images, IEEE Trans. Multimedia, 5 (2014), 124–143.
    [15] C. C. Chang, T. D. Kieu and W. C. Wu, A lossless data embedding technique by joint neighboring coding, Pattern Recognit., 42 (2009), 1597–1603.
    [16] C. C. Chang, Y. H. Chen and C. C. Lin, A data embedding scheme for color images based on genetic algorithm and absolute moment block truncation coding, Soft Comput., 13 (2009), 321–331.
    [17] A. J. Zargar and A. K. Singh, Robust and imperceptible image watermarking in DWT-BTC domain, Int. J. Electron. Secur. Digital Forensics, 8 (2016), 53–62.
    [18] C. K. Chan and L. M. Cheng, Hiding data in images by simple LSB substitution, Pattern Recognit., 37 (2004), 469–474.
    [19] J. A. Fessler and B. P. Sutton, Nonuniform fast Fourier transforms using min-max interpolation, IEEE Trans. Signal Process., 51 (2003), 560–574.
    [20] B. Chen, S. Latifi and J. Kanai, Edge enhancement of remote image data in the DCT domain, Image Vision Comput., 17 (1999), 913–921.
    [21] C. Qin and Y. C. Hu, Reversible data hiding in VQ index table with lossless coding and adaptive switching mechanism, Signal Process., 129 (2016), 48–55.
    [22] Y. Qiu, H. He, Z. Qian, et al., Lossless data hiding in JPEG bitstream using alternative embedding, J. Visual Commun. Image Representation, 52 (2018), 86–91.
    [23] J. C. Chuang and C. C. Chang, Using a simple and fast image compression algorithm to hide secret information, Int. J. Comput. Appl., 28 (2006), 329–333.
    [24] D. Ou and W. Sun, High payload image steganography with minimum distortion based on absolute moment block truncation coding, Multimedia Tools Appl., 74 (2015), 9117–9139.
    [25] J. Bai and C. C. Chang, High payload steganographic scheme for compressed images with Hamming code, Int. J. Network Secur., 18 (2016), 1122–1129.
    [26] C. Kim, D. Shin, L. Leng, et al., Lossless data hiding for absolute moment block truncation coding using histogram modification, J. Real-Time Image Process., 14 (2018), 101–114.
    [27] R. Kumar, D. S. Kim and K. H. Jung, Enhanced AMBTC based data hiding method using hamming distance and pixel value differencing, J. Inf. Secur. Appl., 47 (2019), 94–103.
    [28] R. Kumar, N. Kumar and K. H. Jung, A new data hiding method using adaptive quantization & dynamic bit plane based AMBTC, 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN), 2019, 854–858. Available from: https://ieeexplore.ieee.org/abstract/document/8711774.
    [29] M. Lema and O. Mitchell, Absolute moment block truncation coding and its application to color images, IEEE Trans. Commun., 32 (1984), 1148–1157.
    [30] P. Fränti, O. Nevalainen and T. Kaukoranta, Compression of digital images by block truncation coding: A survey, Comput. J., 37 (1994), 308–332.
    [31] C. Kim, D. Shin, B. G. Kim, et, al.,Secure medical images based on data hiding using a hybrid scheme with the Hamming code, LSB, and OPAP, J. Real-Time Image Process., 14 (2018), 115–126.
    [32] E. Tsimbalo, X. Fafoutis and R. Piechocki, CRC error correction in IoT applications, IEEE Trans. Ind. Inf., 13 (2017), 361–369.
    [33] C. Kim, Data hiding by an improved exploiting modification direction, Multimedia Tools Appl., 69 (2014), 569–584.
    [34] Z. Wang, A. C. Bovik, H. R. Sheikh, et al., Image quality assessment: From error visibility to structural similarity, IEEE Trans. Image Process., 13 (2004), 600–612.
  • Reader Comments
  • © 2019 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3977) PDF downloads(377) Cited by(4)

Article outline

Figures and Tables

Figures(8)  /  Tables(2)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog