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In this paper we present a restoration technique aimed at correcting image degradations by consideration of human visual criteria. A neural network model with an adaptive constraint factor is used. By considering local statistical information about regions within an image, the value of constraint factor can be selected which produces an optimal trade-off between noise suppression and edge preservation...
In this paper, two image partitioning schemes are examined. The first scheme examined avoids boundary conflicts by the use of four restoration phases. The second scheme examined requires a degree of synchronization of the processors restoring adjacent regions. Both schemes avoid conflicting boundary conditions by taking into account the local image formation properties. Without any loss of processing...
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