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Green Image
Issue No. 04 - April (1977 vol. 26)
ISSN: 0018-9340
pp: 343-350
A.K. Jain , Department of Electrical Engineering, State University of New York
A two-dimensional discrete stochastic model for representing images is developed. This representation has lower mean square error, compared to a standard autoregressive Markov representation. Application of the model to linear filtering of images degraded by white noise leads to scalar recursive filtering equations requiring only 0(N<sup>2</sup>log<inf>2</inf>N) computations for N x N images. The
Image processing, Kalman filtering, recursive filtering, two-dimensional filtering, image modelling.

A. Jain, "A Semicausal Model for Recursive Filtering of Two-Dimensional Images," in IEEE Transactions on Computers, vol. 26, no. , pp. 343-350, 1977.
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