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A Semicausal Model for Recursive Filtering of Two-Dimensional Images
April 1977 (vol. 26 no. 4)
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(N2log2N) computations for N x N images. The
Index Terms:
Image processing, Kalman filtering, recursive filtering, two-dimensional filtering, image modelling.
Citation:
A.K. Jain, "A Semicausal Model for Recursive Filtering of Two-Dimensional Images," IEEE Transactions on Computers, vol. 26, no. 4, pp. 343-350, April 1977, doi:10.1109/TC.1977.1674844
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