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A New Approach to Camera Image Indexing

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Computer Analysis of Images and Patterns (CAIP 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3691))

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Abstract

This paper presents a color filter array (CFA) image indexing approach. To enhance the functionality of single-sensor consumer electronics such as digital cameras, imaging-enabled mobile phones and wireless personal digital assistants (PDAs), the proposed solution embeds the metadata information to a CFA image using a common discrete cosine transform (DCT) based watermarking scheme. Depending on a consumer electronic device employed, the metadata information can be used to indicate ownership, capturing device identification numbers, time and location information. The metadata information can be extracted from the gray-scale, mosaic-like CFA image or the full-color, demosaicked image using PC software commonly available by camera manufacturers or with conventional public image database tools. Simulation studies reported in the paper indicate that the proposed CFA indexing approach does not affect the performance of the demosaicking methods which produce full-color images that are visually identical to those obtained by demosaicking of the non-indexed CFA data.

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Author information

Authors and Affiliations

  1. The Edward S. Rogers Sr. Dept. of Electrical and Computer Engineering, University of Toronto, 10 King’s College Road, Toronto, M5S 3G4, Canada

    Rastislav Lukac & Konstantinos N. Plataniotis

Authors
  1. Rastislav Lukac
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  2. Konstantinos N. Plataniotis
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Editor information

Editors and Affiliations

  1. INRIA-Rocquencourt, Domaine de Voluceau, BP105, 78153, Le Chesnay, France

    André Gagalowicz

  2. Ghent University, 9000, Gent, Belgium

    Wilfried Philips

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© 2005 Springer-Verlag Berlin Heidelberg

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Lukac, R., Plataniotis, K.N. (2005). A New Approach to Camera Image Indexing. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_18

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  • DOI: https://doi.org/10.1007/11556121_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28969-2

  • Online ISBN: 978-3-540-32011-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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