Share This Article:

Optical Image Compression Using a Real Fourier Plane

Abstract Full-Text HTML Download Download as PDF (Size:1866KB) PP. 240-249
DOI: 10.4236/opj.2013.33039    3,022 Downloads   4,629 Views  

ABSTRACT

Hastening transmission by efficiently providing compression is our goal in this work. Image compression consists in reducing information size representing an image. Elimination of redundancies and non-pertinent information enables memory space minimization and thus fast data transmission. Optics can offer an alternative choice to overcome the limitation of numerical compression algorithms. In this paper, we propose real-time optical image compression using a real Fourier plane to save time required for compression by using the principles of coherent optics. Digital and optical simulation results are presented and analyzed. An optical compression decompression setup is demonstrated using two different SLMs (SEIKO and DisplayTech). The purpose of this method is to simplify our earlier method, improve the quality of reconstructed image, and avoid the disadvantages of numerical algorithms.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

A. Alkholidi, "Optical Image Compression Using a Real Fourier Plane," Optics and Photonics Journal, Vol. 3 No. 3, 2013, pp. 240-249. doi: 10.4236/opj.2013.33039.

References

[1] A. L. Oldenburg, J. J. Reynolds, D. L. Marks and S. A. Boppart, “Fast-Fourier-Domain Delay Line for in Vivo Optical Coherence Tomography with a Polygonal Scanner,” Applied Optics, Vol. 42, No. 22, 2003, pp. 4606-4611.
[2] A. Alkholidi, A. Alfalou and H. Hamam, “A New Ap proach for Optical Colored Image Compression Using the JPEG Standards,” Signal Processing, Vol. 87, 2007, pp. 569-583.
[3] A. Alkholidi, “Analyse and Implementation of Compres sion/Decompression Processors Based on JPEG and JPEG 2000 Standards,” Ph.D. Thesis, Université de Bretagne Ocedentale (UBO), Brest, 2007.
[4] A. Alkholidi, A. Cottour, A. Al falou, H. Hamam and G. Keryer, “Real Time Optical 2-D Wavelet Transform Based of the JPEG2000 Standards,” European Physical Journal (EPJ), Applied Physics, Vol. 44, 2008, pp. 261-272.
[5] A. Alfalou, et al., “Assessing the Performance of a Me thod of Simultaneous Compression and Encryption of Multiple Images and Its Resistance against Various Attacks,” Optics Express, Vol. 21, No. 7, 2013, pp. 8025-8043. doi:10.1364/OE.21.008025
[6] A. E. Shortt, T. J. Naughton and B. Javidi, “Compression of Optically Encrypted Digital Holograms Using Artifi cial Neural Networks,” Journal of Display Technology, Vol. 2, No. 4, 2006, pp. 401-410.
[7] C.-H. Chuang and Y.-L. Chen, “Steganographic Optical Image Encryption System Based on Reversible Data Hi ding and Double Random Phase Encoding,” Optical En gineering, Vol. 52, No. 2, 2013, Article ID: 028201.
[8] X. Q. Zhou, et al., “Spatial-Frequency-Compression Scheme for Diffuse Tomography with Dataset,” Applied Optics, Vol. 52, No. 9, 2013, pp. 1779-1792.
[9] H. Wang, S. S. Han and M. Kolobov, “Quantum Limits in Compressed Sensing of Optical Images,” Quantum Elec tronics and Laser Science Conference, San Jose, 6 May 2012.
[10] R. C. Gonzalez and R. E. Woods, “Digital Image Com pression,” Prentice Hall, 2009.
[11] W. Goodman, “Introduction to Fourier Optics,” MacGraw Hill, New York, 1968.
[12] Y. Suzuki, “Spatial Light Modulators for Phase-Only Modulation,” IEEE, 1999, pp. 1312-1313.
[13] G. Ntogari, et al., “A Numerical Study of Optical Swit ches and Modulators Based on Ferroelectronic Liquid Crystals,” Journal of Optics A: Pure and Applied Optics, Vol. 7, 2004, pp. 82-87.

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.