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Improved Algorithm of Edge Adaptive Image Steganography Based on LSB Matching Revisited Algorithm

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Digital-Forensics and Watermarking (IWDW 2013)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 8389))

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Abstract

In edge adaptive image steganography based on LSB matching revisited algorithm (EAMR for short in this paper), the secret message bits are embedded into those consecutive pixel pairs whose absolute difference of grey values are larger than or equal to a threshold T. Tan et al. [1] pointed out that since those adjacent pixel pairs can be located by the potential attackers, the pulse distortion introduced in the histogram of absolute difference of pixel pairs (HADPP for short in this paper) can easily be discovered, and a targeted steganalyzer for revealing this pulse distortion is presented in [1]. In this paper, we propose an improved algorithm for EAMR, in which the adjacent pixel pairs for data hiding are selected in a new random way. Thus the attackers cannot locate the pixel pairs selected for data hiding accurately, and the abnormality that exists in HADPP cannot be discovered any longer. Experimental results demonstrate that our improved EAMR (I-EAMR) can efficiently defeat the targeted steganalyzer presented by Tan et al. [1]. Furthermore, it can still preserve the statistics of the carrier image well enough to resist today’s blind steganalyzers.

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Acknowledgments

The authors would like to thank Dr. Shunquan Tan at Shenzhen University, Shenzhen, China, for providing us the source code in [1]. This work was supported by the National Natural Science Foundation of China (61173147, U1135001), the 973 Program of China (2011CB302204), the Key Projects in the National Science & Technology Pillar Program (2012BAK16B06), the Fundamental Research Funds for Central Universities (12lgpy31), and the Project Sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry ([2012]1707).

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Authors and Affiliations

  1. School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, 510006, China

    Fangjun Huang, Yane Zhong & Jiwu Huang

Authors
  1. Fangjun Huang
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  2. Yane Zhong
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  3. Jiwu Huang
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Correspondence to Fangjun Huang .

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Editors and Affiliations

  1. New Jersey Institute of Technology, Newark, New Jersey, USA

    Yun Qing Shi

  2. CIST, Korea University, Seoul, Korea, Republic of (South Korea)

    Hyoung-Joong Kim

  3. EE Telecomunicacion, University of Vigo, Vigo, Spain

    Fernando Pérez-González

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Huang, F., Zhong, Y., Huang, J. (2014). Improved Algorithm of Edge Adaptive Image Steganography Based on LSB Matching Revisited Algorithm. In: Shi, Y., Kim, HJ., Pérez-González, F. (eds) Digital-Forensics and Watermarking. IWDW 2013. Lecture Notes in Computer Science(), vol 8389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43886-2_2

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  • DOI: https://doi.org/10.1007/978-3-662-43886-2_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-43885-5

  • Online ISBN: 978-3-662-43886-2

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