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The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

ICNC-FSKD 2019: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery pp 1080–1090Cite as

A Feature-Based Hybrid Medical Image Watermarking Algorithm Based on SURF-DCT

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1075))

Abstract

Researching digital watermarking algorithms with better transparency and robustness is essential for protecting the copyright of medical images. Security issues in medical images are increasing day to day with the increase of health data all around the globe. This paper proposed a new algorithm image-based zero-watermarking using SURF-DCT perceptual hashing (Speeded Up Robust Features and Discrete Cosine Transform). Firstly, by using the SURF features of the medical image are taken to perform watermark embedding and extraction. Then by using perceptual hashing and quantization to generate hashing sequences to capture semi-global geometric characteristics. Next, used chaotic maps to encrypt the watermarking and embed it in the medical image after extracting the final features which are used as a hash value. Finally, the correlation coefficient is used to measure the performance of the proposed algorithm with other algorithms against the embedded and extracted watermarking sequences. The experimental results show that the proposed algorithm is robust to many attacks such as clipping, JPEG compression, and filtering. It also has good resistance to attacks such as rotation and noise.

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Acknowledgment

This work is supported by the Key Reach Project of Hainan Province (ZDYF2018129), the National Natural Science Foundation of China (61762033), and the National Natural Science Foundation of Hainan (617048, 2018CXTD333).

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Authors and Affiliations

  1. College of Information Science and Technology, Hainan University, Haikou, 570228, China

    Saqib Ali Nawaz, Jingbing Li, Jialing Liu, Uzair Aslam Bhatti, Jingjun Zhou & Raza Muhammad Ahmad

  2. State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University, Haikou, 570228, Hainan Province, China

    Saqib Ali Nawaz, Jingbing Li, Jialing Liu, Uzair Aslam Bhatti, Jingjun Zhou & Raza Muhammad Ahmad

Authors
  1. Saqib Ali Nawaz
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  2. Jingbing Li
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  3. Jialing Liu
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  4. Uzair Aslam Bhatti
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  5. Jingjun Zhou
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  6. Raza Muhammad Ahmad
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Corresponding author

Correspondence to Jingbing Li .

Editor information

Editors and Affiliations

  1. The University of Aizu, Aizuwakamatsu, Japan

    Yong Liu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

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Nawaz, S.A., Li, J., Liu, J., Bhatti, U.A., Zhou, J., Ahmad, R.M. (2020). A Feature-Based Hybrid Medical Image Watermarking Algorithm Based on SURF-DCT. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_118

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