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A Differential Operator Technique for Restoring Degraded Signals and Images

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2 Author(s)
Ostrem, John S. ; MEMBER, IEEE, Bioengineering Research Center, SRI International, Menlo Park, CA 94025. ; Falconer, David G.

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.

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:PAMI-3 ,  Issue: 3 )