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IR Hiding: Method to Prevent Re-recording Screen Image Built in Short Wavelength Pass Filter Detection Method Using Specular Reflection

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Part of the Lecture Notes in Computer Science book series (LNSC,volume 7128)

Abstract

We previously proposed using infrared (IR) LEDs to corrupt recorded content to prevent the re-recording of images displayed on a screen. This method is based on the difference in sensory perception between humans and devices and prevents re-recording by adding IR noise to the images displayed on the screen without it being detected by the human eye. However, it cannot prevent re-recording using digital camcorders equipped with a short wavelength pass filter to eliminate the noise. We have now improved our method by adding a simple countermeasure against such attacks. It detects IR light reflected off the filter by using the IR specular reflection properties of the filter, and thereby detects re-recording using digital camcorders equipped with a short wavelength pass filter. We implemented this countermeasure by adding one of two types of IR LEDs (bullet type and chip type with lens) to our prototype re-recording prevention system, which is installed on a B3-size screen. Testing showed that this enhanced system can detect camcorders with an attached short wavelength pass filter.

Keywords

  • short wavelength pass filter
  • infrared cut filter
  • infrared absorption filter
  • specular reflection
  • infrared camcorder

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© 2012 Springer-Verlag Berlin Heidelberg

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Yamada, T., Gohshi, S., Echizen, I. (2012). IR Hiding: Method to Prevent Re-recording Screen Image Built in Short Wavelength Pass Filter Detection Method Using Specular Reflection. In: Shi, Y.Q., Kim, HJ., Perez-Gonzalez, F. (eds) Digital Forensics and Watermarking. IWDW 2011. Lecture Notes in Computer Science, vol 7128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32205-1_11

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  • DOI: https://doi.org/10.1007/978-3-642-32205-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32204-4

  • Online ISBN: 978-3-642-32205-1

  • eBook Packages: Computer ScienceComputer Science (R0)