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International Workshop on Digital Watermarking

IWDW 2005: Digital Watermarking pp 275–285Cite as

Look Up Table(LUT) Method for Halftone Image Watermarking

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 3710))

Abstract

In this paper, we introduce a LUT based watermarking method for a halftone image. Watermark bits are hidden at pseudo-random locations of halftone image during halftoning process which is based on LUT method. The pixel values of the halftone image are determined from the LUT entry indexed by both the neighborhood halftone pixels and current grayscale value. The LUT is trained by a set of grayscale images and halftone images. The advantage of LUT method is that it can be executed very fast compared with other watermarking method for a halftone image. Therefore LUT watermarking algorithm can be embedded in a printer. Experiments using real scanned images show that the proposed method is feasible method to hide the large amount of data within a halftone image without noticeable distortion and the watermark is robust to cropping and rotation.

This work is supported by the Korea Science and Engineering Foundation (KOSEF-R05-2004-000-10894-0) and Korea Research Foundation.

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Author information

Authors and Affiliations

  1. School of Information Technology Engineering, Soonchunhyang University, Asan-si, Choongchungnam-do, Republic of Korea

    InGook Chun

Authors
  1. InGook Chun
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Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Siena, Italy

    Mauro Barni

  2. University College London, Torrington Place, UK

    Ingemar Cox

  3. Hewlett-Packard Laboratories, Palo Alto, CA, USA

    Ton Kalker

  4. Multimedia Security Lab, Korea University, Science Campus, 136-701, Seoul, Korea

    Hyoung-Joong Kim

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© 2005 Springer-Verlag Berlin Heidelberg

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Chun, I. (2005). Look Up Table(LUT) Method for Halftone Image Watermarking. In: Barni, M., Cox, I., Kalker, T., Kim, HJ. (eds) Digital Watermarking. IWDW 2005. Lecture Notes in Computer Science, vol 3710. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551492_21

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  • DOI: https://doi.org/10.1007/11551492_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28768-1

  • Online ISBN: 978-3-540-32052-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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