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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 32, Iss. 5 — Feb. 10, 1993
  • pp: 653–658

Optical fractal synthesizer: concept and experimental verification

Jun Tanida, Atsushi Uemoto, and Yoshiki Ichioka  »View Author Affiliations


Applied Optics, Vol. 32, Issue 5, pp. 653-658 (1993)
http://dx.doi.org/10.1364/AO.32.000653


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Abstract

An application of optical parallel processing in the generation of fractal images is presented.Iterated function systems [ BarnsleyM., Fractals Everywhere ( Academic, Boston, Mass., 1988), Chap. 3] are the basis of the operation, which can be easily implemented with optical techniques. An optical fractal synthesizer is considered to compute iterated function systems effectively with the advantages of optical processing in data continuity as well as parallelism. As an instance of the optical fractal synthesizer, an experimental system consisting of two optical subsystems for affine transformation and a TV-feedback line is constructed. Several experimental results verify the principle and show the processing capability of the optical fractal synthesizer.

© 1993 Optical Society of America

History
Original Manuscript: March 30, 1992
Published: February 10, 1993

Citation
Jun Tanida, Atsushi Uemoto, and Yoshiki Ichioka, "Optical fractal synthesizer: concept and experimental verification," Appl. Opt. 32, 653-658 (1993)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-32-5-653


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References

  1. D. G. Feitelson, Optical Computing (MIT, Cambridge, Mass., 1988), Chaps. 3, 4, and 6–9.
  2. B. B. Mandelbrot, The Fractal Geometry of Nature (Freeman, San Francisco, Calif., 1983), Chap. 3.
  3. M. Barnsley, Fractals Everywhere (Academic, Boston, Mass., 1988), Chap. 3.
  4. M. F. Barnsley, A. D. Sloan, “A better way to compress images,” Byte 13, 215–223 (1988).
  5. J. P. Crutchfield, “Space–time dynamics in video feedback,” Physica (Utrecht) 10D, 229–245 (1984).
  6. G. Häusler, G. Seckmeyer, T. Weiss, “Chaos and cooperation in nonlinear pictorial feedback systems. 1: Experiments,” Appl. Opt. 25, 4656–4663 (1986). [CrossRef] [PubMed]
  7. S. Kocsis, “Digital compression and iterated function systems,” in Applications of Digital Image Processing XII, A. G. Tescher, ed., Proc. Soc. Photo-Opt. Instrum. Eng.1153, 19–27 (1989).
  8. J. Stark, “Iterated function systems as neural networks,” Neural Networks 4, 679–690 (1991). [CrossRef]
  9. G. Ferrano, G. Häusler, “TV optical feedback systems,” Opt. Eng. 19, 442–451 (1980).
  10. A. W. Lohmann, N. Streibl, “Map transformations by optical anamorphic processing,” Appl. Opt. 22, 780–783 (1983). [CrossRef] [PubMed]

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