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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 22, Iss. 14 — Jul. 15, 1983
  • pp: 2161–2168

Stationary transform processing of digital images for data compression

Robin N. Strickland and Warren E. Smith  »View Author Affiliations


Applied Optics, Vol. 22, Issue 14, pp. 2161-2168 (1983)
http://dx.doi.org/10.1364/AO.22.002161


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Abstract

A radiometric/geometric transform has been developed which generates images with approximately wide-sense stationary first (mean)- and second (autocorrelation)-order statistics [ StricklandR. N., Appl. Opt. 22, 1462 ( 1983)]. The transform is found to enhance the performance of predictive coding. The radiometric transform reduces radiometric redundancy in the image data and, therefore, aids efficient quantization at low bit rates. A spatial transformation, or warp, is applied to produce nearly uniform autocorrelation length throughout the data. This affords a convenient means of reducing spatial redundancy by varying the spatial resolution in the transformed image. Final bit rates of ~0.6 bits/pixel are realized for high-quality images. We discuss hybrid digital/optical implementation of the stationary transforms for data compression.

© 1983 Optical Society of America

History
Original Manuscript: January 19, 1983
Published: July 15, 1983

Citation
Robin N. Strickland and Warren E. Smith, "Stationary transform processing of digital images for data compression," Appl. Opt. 22, 2161-2168 (1983)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-22-14-2161

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