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Optics Letters

Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Vol. 23, Iss. 18 — Sep. 15, 1998
  • pp: 1477–1479

Information, resolution, and space-bandwidth product

Mark A. Neifeld  »View Author Affiliations


Optics Letters, Vol. 23, Issue 18, pp. 1477-1479 (1998)
http://dx.doi.org/10.1364/OL.23.001477


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Abstract

The information capacities of two-dimensional optical low-pass channels are discussed. Coherent and incoherent systems operating under finite optical power and area constraints are characterized in terms of two criteria:spacebandwidth product (SBP; the number of pixels required for achieving maximum information capacity) and resolution (Gmin; the smallest spot size capable of supporting positive capacity gain). A coherent system operating with an initial signal-to-noise ratio (SNR) of 5 can achieve a 48% capacity gain by operating at an optimal SBP that is 3.4 times that of the nominal system. The same system has a resolution that is 0.31 times nominal. Incoherent systems experience additional SNR loss, and with an initial SNR of 5 they achieve capacity gains of 29% at the optimal SBP of 2.8 times nominal. The incoherent system resolution is found to be 0.4 times nominal.

© 1998 Optical Society of America

OCIS Codes
(070.2580) Fourier optics and signal processing : Paraxial wave optics
(100.3020) Image processing : Image reconstruction-restoration
(100.6640) Image processing : Superresolution
(110.4280) Imaging systems : Noise in imaging systems
(200.3050) Optics in computing : Information processing
(350.5730) Other areas of optics : Resolution

Citation
Mark A. Neifeld, "Information, resolution, and space-bandwidth product," Opt. Lett. 23, 1477-1479 (1998)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-23-18-1477


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References

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  2. A. J. den Dekker and A. van den Bos, J. Opt. Soc. Am. A 14, 547 (1997).
  3. B. R. Frieden, in Picture Processing and Digital Filtering, T. S. Huang, ed., Vol. 6 of Topics in Applied Physics (Springer-Verlag, New York, 1975), pp. 177248.
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  5. T. M. Cover and J. A. Thomas, Elements of Information Theory (Wiley, New York, 1991), Chap. 8, pp. 183224.
  6. S. Benedetto, D. Divsalar, and J. Hagenauer, eds., special issue on concatenated coding techniques and iterative decoding, IEEE Trans. Sel. Areas Commun. 16(2) (1998).

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