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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 19, Iss. 24 — Nov. 21, 2011
  • pp: 24023–24029

Simultaneous fusion, compression, and encryption of multiple images

A. Alfalou, C. Brosseau, N. Abdallah, and M. Jridi  »View Author Affiliations

Optics Express, Vol. 19, Issue 24, pp. 24023-24029 (2011)

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We report a new spectral multiple image fusion analysis based on the discrete cosine transform (DCT) and a specific spectral filtering method. In order to decrease the size of the multiplexed file, we suggest a procedure of compression which is based on an adapted spectral quantization. Each frequency is encoded with an optimized number of bits according its importance and its position in the DC domain. This fusion and compression scheme constitutes a first level of encryption. A supplementary level of encryption is realized by making use of biometric information. We consider several implementations of this analysis by experimenting with sequences of gray scale images. To quantify the performance of our method we calculate the MSE (mean squared error) and the PSNR (peak signal to noise ratio). Our results consistently improve performances compared to the well-known JPEG image compression standard and provide a viable solution for simultaneous compression and encryption of multiple images.

© 2011 OSA

OCIS Codes
(070.0070) Fourier optics and signal processing : Fourier optics and signal processing
(100.0100) Image processing : Image processing
(200.4560) Optics in computing : Optical data processing

ToC Category:
Image Processing

Original Manuscript: August 25, 2011
Manuscript Accepted: October 19, 2011
Published: November 10, 2011

A. Alfalou, C. Brosseau, N. Abdallah, and M. Jridi, "Simultaneous fusion, compression, and encryption of multiple images," Opt. Express 19, 24023-24029 (2011)

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  1. A. Alfalou and C. Brosseau, “Optical image compression and encryption methods,” Adv. Opt. Photon. 1(3), 589–636 (2009). [CrossRef]
  2. M. Johnson, P. Ishwar, V. Prabhakaran, D. Schonberg, and K. Ramchandran, “On compressing encrypted data,” IEEE Trans. Signal Process. 52(10), 2992–3006 (2004). [CrossRef]
  3. A. Alfalou, A. Loussert, A. Alkholidi, and R. El Sawda, “System for image compression and encryption by spectrum fusion in order to optimise image transmission,” FGCN 2007, IEEE Proceeding, ISBN: 0–7695–3048–6, Vol. 2, 2007, pp. 593–596.
  4. A. Alfalou and C. Brosseau, “Exploiting root-mean-square time-frequency structure for multiple-image optical compression and encryption,” Opt. Lett. 35(11), 1914–1916 (2010). [CrossRef] [PubMed]
  5. T. J. Naughton, J. B. McDonald, and B. Javidi, “Efficient compression of fresnel fields for Internet transmission of three-dimensional images,” Appl. Opt. 42(23), 4758–4764 (2003). [CrossRef] [PubMed]
  6. P. Refrégier and B. Javidi, “Optical image encryption based on input plane and Fourier plane random encoding,” Opt. Lett. 20(7), 767–769 (1995). [CrossRef] [PubMed]
  7. B. Javidi, C. M. Do, S.-H. Hong, and T. Nomura, “Multi-spectral holographic three-dimensional image fusion using discrete wavelet transform,” J. Disp. Technol. 2(4), 411–417 (2006). [CrossRef]
  8. See, e.g. K. R. Rao and P. Yip, Discrete Cosine Transform: Algorithms, Advantages, Applications, (Academic Press, 1990), and http://www.jpeg.org/ .
  9. B. Javidi, ed., Optical and Digital Techniques for Information Security, (Springer Verlag, New York, 2005).
  10. Y. Frauel, A. Castro, T. J. Naughton, and B. Javidi, “Resistance of the double random phase encryption against various attacks,” Opt. Express 15(16), 10253–10265 (2007). [CrossRef] [PubMed]

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