Abstract

Enhancement of blurred images by nutation involves accumulation of information from displaced replicas of the degraded image. The technique is analyzed theoretically and is found to be equivalent to convolution with the weight distribution assigned to the replicas. The process is shown to improve resolution, correct certain aberrations, or reduce effects of noise, when adjustable parameters are properly selected. Plots of spectrum enhancement and of SNR calculations are presented, and tradeoffs between resolution and noise are discussed.

© 1976 Optical Society of America

Matched filter processing of raster-scanned images: analysis

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Optical image processing by multiplex coding

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Image quality in an optical system operating in partially coherent light: effect of parabolic motion

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