Maximum likelihood image restoration. III. Algorithm. One-dimensional test cases.

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Image Restoration

Scientific paper

A numerical method is proposed of searching for the maximum of the functional under probabilistic constraints that arise in the Maximum Likelihood Image Restoration (MLIR) method. It is shown by analysis of the test examples that MLIR is an efficient and stable method. A preliminary comparison of MLIR and some other methods of image restoration is given.

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