CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Spread Spectrum Watermark Design under Noisy Compressive Sampling

Published on March 2013 by Anirban Bose, Santi P. Maity
journal_cover_thumbnail

International Conference on Computing, Communication and Sensor Network
Foundation of Computer Science USA
CCSN2012 - Number 2
March 2013
Authors: Anirban Bose, Santi P. Maity
b365b52b-4c27-476f-9e44-14078f81f960

Anirban Bose, Santi P. Maity . Spread Spectrum Watermark Design under Noisy Compressive Sampling. International Conference on Computing, Communication and Sensor Network. CCSN2012, 2 (March 2013), 36-41.

@article{
author = { Anirban Bose, Santi P. Maity },
title = { Spread Spectrum Watermark Design under Noisy Compressive Sampling },
journal = { International Conference on Computing, Communication and Sensor Network },
issue_date = { March 2013 },
volume = { CCSN2012 },
number = { 2 },
month = { March },
year = { 2013 },
issn = 0975-8887,
pages = { 36-41 },
numpages = 6,
url = { /specialissues/ccsn2012/number2/10859-1022/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Computing, Communication and Sensor Network
%A Anirban Bose
%A Santi P. Maity
%T Spread Spectrum Watermark Design under Noisy Compressive Sampling
%J International Conference on Computing, Communication and Sensor Network
%@ 0975-8887
%V CCSN2012
%N 2
%P 36-41
%D 2013
%I International Journal of Computer Applications
Abstract

This paper proposes an algorithm for spread spectrum watermark design under compressive sampling (CS) attack using hybridization of genetic algorithm (GA) and neural network. In watermarking application, CS may be viewed as a typical fading-like attack operation on the watermarked image. GA is used to determine the watermark strength taking into consideration of both robustness and imperceptibility in the paradigm of CS with additive white Gaussian noise (AWGN) attack channel. Then NN assisted improved detector is developed to classify two image classes i. e. watermarked and non-watermarked one. Simulation results demonstrate the effectiveness of the proposed method.

References
  1. I. J. Cox, J. Kilian, F. T. Leighton and T. Shamoon, "Secure Spread Spectrum Watermarking for Multimedia," IEEE Trans. on Image Proc. , vol. 6, pp. 1673-1687, 1997.
  2. S. P. Maity and S. Maity, "Multistage Spread Spectrum Watermark Detection Technique using Fuzzy Logic", IEEE Signal Proc. Letters, vol. 16, no. 4, pp. 245-248, 2009.
  3. D. Donoho, "Compressed Sensing," IEEE Trans. Inform. Theory, vol. 52, no. 4, pp. 1289–1306, Apr. 2006.
  4. E. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inform. Theory, vol. 52, no. 2, pp. 489–509, Feb. 2006
  5. J. R. Hernandez, M. Amado, F. Perez-Gonzalez, "DCT-domain watermarking techniques for still images: detector performance analysis and a new structure", IEEE Trans. Image Proc. , vol. 1, pp. 55-68, 2000.
  6. D. E. Goldberg, "Genetic Algorithms in Search, Optimization and Machine Learning", Addison-Wesley, Reading, MA, 1992.
  7. Laurene V. Fausett, "Fundamentals of Neural Networks: Architectures, Algorithms, and Applications", 9 December, 1993.
  8. Brian D. Ripley, "Pattern Recognition and Neural Networks", ISBN-10: 0521460867, 18 January, 1996.
  9. Baraldi, F. Parmiggiani, "An Investigation of the Textural characteristics associated with GLCM Matrix Statistical Parameters",IEEE Trans. on Geos. and Rem. Sens. , vol. 33(2), pp. 293-304, 1995.
  10. R. Haralick, K. Shanmugam, I. Dinstein, "Texture Features For Image Classification", IEEE Transaction on SMC-3(6), pp. 610-621, 1973.
Index Terms

Computer Science
Information Sciences

Keywords

Spread Spectrum Watermark Compressive Sampling Genetic Algorithms Neural Network