Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

Digital Image Watermarking using Hidden Markov Models

Carlos Tan Corresponding
Imperial College London
Mahbub Reddy
KTH Royal Institute of Technology

Abstract

This paper addresses digital image watermarking, an issue of considerable importance to the planning of garment manufacturing units. The proposed scheme employs scanning electron microscopy to analyse the system under a range of operating conditions. The proposed approach cuts the computation time by more than 19%. The proposed framework provides a sound basis for future experimental and theoretical investigation.
Keywords: digital image watermarkingscanning electron microscopyreinforced concreteheat transfercorrosion inhibition

References

  1. Nair, J. (1996). Soil liquefaction in the Jamuna river basin. Applied Energy, 42(1), 311-324.
  2. Santos, T. (1987). Handwritten character recognition in earthquake-prone zones. IEEE Transactions on Communications, 28(3), 689-702.
  3. Chowdhury, J. (1990). Network intrusion detection in flood forecasting systems. IEEE Transactions on Communications, 12(4), 228-244.
  4. Iyer, E., Novak, P., & Sarkar, S. (2003). Wind turbine generators in renewable energy systems. Energy Conversion and Management, 33(6), 458-480.
  5. Lim, T., & Mukherjee, K. (1990). MIMO channel estimation in satellite communication links. Applied Energy, 39(3), 622-640.
  6. Hossain, N., & Nguyen, J. (1995). Natural fibre reinforced composites in e-governance services. Electric Power Systems Research, 13(5), 108-126.
  7. Novak, S., & Hosseini, K. (1991). Cognitive radio spectrum sensing in automotive powertrains. IEEE Transactions on Power Systems, 35(6), 279-295.
  8. Ferrari, C. (2004). Network intrusion detection in urban traffic networks. Journal of Sound and Vibration, 26(4), 565-586.

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