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Tamper detection and image recovery for BTC-compressed images

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Abstract

To ensure the integrity of images compressed using block truncation coding (BTC), a tamper detection and image recovery scheme is proposed in this paper. In this scheme, the size of the authentication data can be adaptively selected according to the user’s requirement. The authentication data is embedded in the value differences of the quantization levels in each BTC-compressed image block. Multiple copies of the recovery data are embedded into the bit maps of the smooth blocks. Experimental results show that the proposed scheme performs well in terms of detection precision and the embedded image quality. Meanwhile, the tampered areas can be roughly recovered by using the proposed scheme.

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Acknowledgments

This research was supported by Providence University, Taichung, Taiwan under contract the National Science Council, Taipei, R.O.C. under contract MOST 103-2410-H-126-009-MY3 and MOST-103-2632-E-126-001MY3.

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Authors and Affiliations

  1. Department of Computer Science and Information Management, Providence University, 200 Chung Chi Road, Sec. 7, Taiwan Boulevard, Shalu District, Taichung City, Taiwan, 43301, Republic of China

    Yu-Chen Hu & Wu-Lin Chen

  2. Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, USA

    Kim-Kwang Raymond Choo

  3. School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, Australia

    Kim-Kwang Raymond Choo

Authors
  1. Yu-Chen Hu
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  2. Kim-Kwang Raymond Choo
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  3. Wu-Lin Chen
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Correspondence to Yu-Chen Hu.

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Hu, YC., Choo, KK.R. & Chen, WL. Tamper detection and image recovery for BTC-compressed images. Multimed Tools Appl 76, 15435–15463 (2017). https://doi.org/10.1007/s11042-016-3847-7

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  • DOI: https://doi.org/10.1007/s11042-016-3847-7

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