A real-time ownership identification approach for semi-blind invisible watermarking using statistical information of watermark bit stream

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2 Citations (Scopus)

Abstract

Nowadays, due to the advanced technologies in telecommunication and broadcasting networks, there are everincreasing business demands for immediate watermarking schemes in many real-time applications to protect their digital properties against misuse or piracy. Studies revealed that the spatial-domain watermarking schemes such as the EISB (Enhanced Intermediate Significant Bit) require lower computational complexity than the transform-domain techniques. Therefore, they could be more appropriate compared to the transform-domain techniques for real-time applications such as medical and satellite image protection applications. However, they are not as robust as the transform-domain techniques. Hence, there is still a great challenge for emerging effective watermarking schemes for real-time ownership identification applications. To take up this challenge, we proposed an approximation technique for the ownership identification applications using the ratio of the number of 1s to the number of both 1s and 0s in the bit stream of the watermark. We were successfully implemented the proposed approach in the EISB scheme. The results of experiment revealed that the proposed approach identified the owner of the watermarked image, even after the embedded watermark was totally corrupted by the JPEG2000 image compression attack.

Original languageEnglish
Pages (from-to)473-476
Number of pages4
JournalAdvanced Science Letters
Volume20
Issue number2
DOIs
Publication statusPublished - Feb 2014

Fingerprint

Ownership
Watermark
Watermarking
ownership
transform
Real-time
Data Compression
piracy
Mathematical transformations
Computer Communication Networks
Transform
advanced technology
broadcasting
telecommunication
compression
JPEG2000
Satellite Images
Technology
Image Compression
Medical Image

Keywords

  • Image processing
  • Medical image
  • Ownership identification
  • Real-time
  • Robots
  • Satellite image
  • Telecommunication
  • Watermarking

ASJC Scopus subject areas

  • Education
  • Health(social science)
  • Mathematics(all)
  • Energy(all)
  • Computer Science(all)
  • Environmental Science(all)
  • Engineering(all)

Cite this

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title = "A real-time ownership identification approach for semi-blind invisible watermarking using statistical information of watermark bit stream",
abstract = "Nowadays, due to the advanced technologies in telecommunication and broadcasting networks, there are everincreasing business demands for immediate watermarking schemes in many real-time applications to protect their digital properties against misuse or piracy. Studies revealed that the spatial-domain watermarking schemes such as the EISB (Enhanced Intermediate Significant Bit) require lower computational complexity than the transform-domain techniques. Therefore, they could be more appropriate compared to the transform-domain techniques for real-time applications such as medical and satellite image protection applications. However, they are not as robust as the transform-domain techniques. Hence, there is still a great challenge for emerging effective watermarking schemes for real-time ownership identification applications. To take up this challenge, we proposed an approximation technique for the ownership identification applications using the ratio of the number of 1s to the number of both 1s and 0s in the bit stream of the watermark. We were successfully implemented the proposed approach in the EISB scheme. The results of experiment revealed that the proposed approach identified the owner of the watermarked image, even after the embedded watermark was totally corrupted by the JPEG2000 image compression attack.",
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author = "Emami, {Mir Shahriar} and Khairuddin Omar and Shahnorbanun Sahran and {Sheikh Abdullah}, {Siti Norul Huda}",
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AU - Omar, Khairuddin

AU - Sahran, Shahnorbanun

AU - Sheikh Abdullah, Siti Norul Huda

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AB - Nowadays, due to the advanced technologies in telecommunication and broadcasting networks, there are everincreasing business demands for immediate watermarking schemes in many real-time applications to protect their digital properties against misuse or piracy. Studies revealed that the spatial-domain watermarking schemes such as the EISB (Enhanced Intermediate Significant Bit) require lower computational complexity than the transform-domain techniques. Therefore, they could be more appropriate compared to the transform-domain techniques for real-time applications such as medical and satellite image protection applications. However, they are not as robust as the transform-domain techniques. Hence, there is still a great challenge for emerging effective watermarking schemes for real-time ownership identification applications. To take up this challenge, we proposed an approximation technique for the ownership identification applications using the ratio of the number of 1s to the number of both 1s and 0s in the bit stream of the watermark. We were successfully implemented the proposed approach in the EISB scheme. The results of experiment revealed that the proposed approach identified the owner of the watermarked image, even after the embedded watermark was totally corrupted by the JPEG2000 image compression attack.

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