Issue No. 04 - April (1977 vol. 26)
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.K. Jain, "A Semicausal Model for Recursive Filtering of Two-Dimensional Images", IEEE Transactions on Computers, vol. 26, no. , pp. 343-350, April 1977, doi:10.1109/TC.1977.1674844