Abstract
The problem of restoring binary images degraded by region-dependent flip-flap noises is considered. The real image is described by a Markov random field (MRF). The iterative conditional modes (ICM) algorithm is adopted. It is shown that under certain conditions the ICM algorithm is insensitive to either the MRF model or the noise parameters. Using this property, we propose a blind restoration algorithm that has the following two basic properties: (a) it does not require full knowledge about the model and noise parameters; (b) it can be fully implemented in parallel. To show the effectiveness of the algorithm, simulation results are presented on the applications of the algorithm to degraded hand-drawn and synthetic images.
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