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Blind consecutive extraction of multi-carrier spread spectrum data from digital images

Soltanian, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/IranianCEE.2017.7985351
  3. Abstract:
  4. We address blind extraction of spread spectrum data embedded in a digital image. The multicarrier iterative generalized least-squares (M-IGLS) data extraction algorithm is the basis of our study and a new algorithm based on M-IGLS is introduced in which both computational complexity and data extraction accuracy are enhanced. In the new method named multicarrier consecutive iterative generalized least-squares (M-CIGLS) algorithm, neither the cover image nor the spread spectrum carriers are required for the hidden data extraction. Additionally, knowledge of the number of carriers is no more needed. Simulation results show the ability of this method to extract data with a superior performance with respect to M-IGLS. Moreover, the probability of bit error rate is comparable with those of obtained by informed algorithms in which both cover image and spread spectrum carriers are known. © 2017 IEEE
  5. Keywords:
  6. Iterative least squares ; Spread spectrum ; Bit error rate ; Blind source separation ; Data mining ; Digital image storage ; Extraction ; Iterative methods ; Least squares approximations ; Spectroscopy ; Blind detection ; Generalized least square ; Global maximum ; Iterative least squares ; Multicarrier spread spectrum ; Probability of bit error ; Spread spectra ; Spread spectrum carrier ; Image processing
  7. Source: 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017, 2 May 2017 through 4 May 2017 ; 2017 , Pages 1835-1839 ; 9781509059638 (ISBN)
  8. URL: https://ieeexplore.ieee.org/document/7985351