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Hybrid Image Processing Using a Simple Optical Technique

  • Y. Ichioka
  • S. Kawata

Abstract

A digital image processor can carry out arithmetic operations and nonlinear operations with noise-free processing but takes much computer time to calculate the two-dimensional (2-D) convolution often used for image processing. On the other hand, an optical processor can do the 2-D convolution at very high speeds but not with great arithmetic precision. Division is especially difficult by means of optical methods. The fundamentals of hybrid processing presented in this chapter make good use of the capability for highspeed 2-D convolution (2-D low pass filtering) by an incoherent optical system in the course of digital processing.

Keywords

Input Image Local Average Dislocation Line Hybrid Processing Direct Memory Access 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Andrews, H. C., “Monochrome Digital Image Enhancement,” Appl. Opt. 15:495–503 (1976).CrossRefGoogle Scholar
  2. Harris, J. L. Sr., “Constant Variance Enhancement: A Digital Processing Technique,” Appl. Opt. 16:1268–1271 (1977).CrossRefGoogle Scholar
  3. Kawata, S., Ichioka, Y., and Suzuki, T., “Hybrid Image Processing for Constant Variance Enhancement,” Opt. Acta 26:1549–1556 (1979).CrossRefGoogle Scholar
  4. Kawata, S., Ichioka, Y., and Suzuki, T., “Man-Machine Conversational Image-Processing System,” J. Phys. E: Sci. Instrum. 11:1191–1194 (1978).CrossRefGoogle Scholar
  5. Tokumitsu, J., Kawata, S., Ichioka, Y., and Suzuki, T., “Adaptive Binarization Using a Hybrid Image Processing System,” Appl. Opt. 17:2655–2657 (1978).Google Scholar

Copyright information

© Plenum Press, New York 1981

Authors and Affiliations

  • Y. Ichioka
    • 1
  • S. Kawata
    • 1
  1. 1.Faculty of EngineeringOsaka UniversitySuita, OsakaJapan

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