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PSO Optimized Multipurpose Image Watermarking Using SVD and Chaotic Sequence

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Bio-Inspired Computing -- Theories and Applications (BIC-TA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 562))

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Abstract

This study proposes a novel method for multipurpose image watermarking for both ownership verification and tampered region localization. Two watermarks (robust and fragile) are inserted into the host image. Robust watermark insertion is done by PSO (particle swarm optimization) optimized scaling of the singular values; utilizing the singular value decomposition (SVD). Doing so, leads to reduction in visibility changes (better imperceptibility) of host image as well as enhanced performance of watermarked image towards attacks (better robustness). Fragile watermark insertion is done by making use of SVD and chaotic sequence (block feature’s dependent). The image is first divided into non overlapped blocks and block based Arnold transformed is performed. Then after, block grouping is done of scrambled blocks to breakdown their independence in order to sustain the vector quantization and collage attacks. The proposed scheme is tested against various signal processing attacks and results shows a good performance.

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Acknowledgments

This work was supported under the framework of international cooperation program managed by National Research Foundation of Korea (NRF-2013K 2A1B9066056).

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Authors and Affiliations

  1. Department of ASE, Indian Institute of Technology, Roorkee, India

    Irshad Ahmad Ansari & Millie Pant

  2. Department of CSE, Sungkyunkwan University, Suwon, Republic of Korea

    Chang Wook Ahn & Jaehun Jeong

Authors
  1. Irshad Ahmad Ansari
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  2. Millie Pant
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  3. Chang Wook Ahn
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  4. Jaehun Jeong
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Corresponding author

Correspondence to Chang Wook Ahn .

Editor information

Editors and Affiliations

  1. Xidian University, Xi'an, China

    Maoguo Gong

  2. Huazhong Univ. of Science and Technology, Wuhan, China

    Pan Linqiang

  3. University of Petroleum, Qingdao, China

    Song Tao

  4. University of Science and Technology of China, Hefei, China

    Ke Tang

  5. Anhui University, Hefei, China

    Xingyi Zhang

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© 2015 Springer-Verlag Berlin Heidelberg

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Ansari, I.A., Pant, M., Ahn, C.W., Jeong, J. (2015). PSO Optimized Multipurpose Image Watermarking Using SVD and Chaotic Sequence. In: Gong, M., Linqiang, P., Tao, S., Tang, K., Zhang, X. (eds) Bio-Inspired Computing -- Theories and Applications. BIC-TA 2015. Communications in Computer and Information Science, vol 562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49014-3_1

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  • DOI: https://doi.org/10.1007/978-3-662-49014-3_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49013-6

  • Online ISBN: 978-3-662-49014-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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