A Differential Operator Technique for Restoring Degraded Signals and Images

A technique is described for restoring signals, images, and other physical quantities that have been distorted or degraded by an imperfect measurement system. This technique is based upon the application of a specific differential operator to the measured quantity. For digital implementation, its ad...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 1981-05, Vol.PAMI-3 (3), p.278-284
Main Authors: Ostrem, John S., Falconer, David G.
Format: Article
Language:English
Subjects:
Cameras
Deconvolution
Degradation
digital image processing
Distortion measurement
Image restoration
Layout
Optical distortion
Optical films
signal processing
Signal restoration
US Department of Transportation
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Summary:A technique is described for restoring signals, images, and other physical quantities that have been distorted or degraded by an imperfect measurement system. This technique is based upon the application of a specific differential operator to the measured quantity. For digital implementation, its advantages compared to other restoration techniques are simplicity, computational efficiency, and reduced core memory requirements. Calculations for a one-dimensional example indicate that restorations comparable in quality to Wiener-filter restorations are obtained with better than an order of magnitude decrease in computation time.
ISSN:0162-8828
1939-3539
DOI:10.1109/TPAMI.1981.4767100