Image restoration using a multilayer perceptron with a multilevel sigmoidal function

The problem of restoring a blurred and noisy image having many gray levels, without any knowledge of the blurring function and the statistics of the additive noise is considered. A multilevel sigmoidal function is used as the node linearity. Restoration is achieved by exploiting the generalization capabilities of the multilayer perceptron network. To overcome the burden of training time a segmentation scheme is suggested. Simulation results are also provided.<
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