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Image Restoration, Modelling, and Reduction of Dimensionality

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2 Author(s)
A. K. Jain ; Department of Electrical Engineering, University of Southern California ; E. Angel

Recursive restoration of two-dimensional noisy images gives dimensionality problems leading to large storage and computation time requirements on a digital computer. This paper shows a two-dimensional second-order Markov process representation can be used for fast recursive restoration of images with small storage requirements. Advantages of this method over existing techniques are illustrated by means of examples.

Published in:

IEEE Transactions on Computers  (Volume:C-23 ,  Issue: 5 )