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A Differential Operator Technique for Restoring Degraded Signals and Images
March 1981 (vol. 3 no. 3)
pp. 278-284
John S. Ostrem, MEMBER, IEEE, Bioengineering Research Center, SRI International, Menlo Park, CA 94025.
David G. Falconer, MEMBER, IEEE, Artificial Intelligence Center, SRI International, Menlo Park, CA 94025; Remote Measurements Laboratory, SRI International, Menlo Park, CA 94025.
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.
Citation:
John S. Ostrem, David G. Falconer, "A Differential Operator Technique for Restoring Degraded Signals and Images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 3, no. 3, pp. 278-284, March 1981, doi:10.1109/TPAMI.1981.4767100
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