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ICA-Based Image and Video Watermarking

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Recent Advances in Information Hiding and Applications

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 40))

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Summary

With the development of computer science and information transmission, image and video have been applied more and more. Extraction of features match to human visual system and compact representation of images and videos are the key points in the field of image and video analysis. As an unsupervised learning method, Independent Component Analysis (ICA) has been used widely in image and video processing, because it is proved to match human visual system in image and video understanding. In this chapter, ICA model and FastICA algorithm are introduced firstly. And then several ICA-based image and video processing models are presented, and various independent features corresponding to these models are introduced. Finally, the similarity between the ICA- and watermarking-models is analyzed, and some representative ICA-based image and video watermarking algorithms are presented.

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Shandong University, Jinan, China

    Jiande Sun & Ju Liu

Authors
  1. Jiande Sun
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  2. Ju Liu
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Corresponding author

Correspondence to Jiande Sun .

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Editors and Affiliations

  1. Sciences, Department of Electronic Engineering, National Kaohsiung University of Applied, Chien-Kung Road 415, Kaohsiung, 807, Taiwan R.O.C.

    Jeng-Shyang Pan

  2. Department of Electrical Engineering, National University of Kaohsiung, University Road 700, Kaohsiung, 811, Taiwan R.O.C.

    Hsiang-Cheh Huang

  3. , School of Electrical and Information, University of South Australia, Adelaide, SA 5095, Australia

    Lakhmi C Jain

  4. Institute of Information Science, Beijing Jiao Tong University, Beijing, 100044, China, People's Republic

    Yao Zhao

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Sun, J., Liu, J. (2013). ICA-Based Image and Video Watermarking. In: Pan, JS., Huang, HC., Jain, L., Zhao, Y. (eds) Recent Advances in Information Hiding and Applications. Intelligent Systems Reference Library, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28580-6_4

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  • DOI: https://doi.org/10.1007/978-3-642-28580-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28579-0

  • Online ISBN: 978-3-642-28580-6

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