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The intelligent adaptive image filter.

What is it about?

The proposed neural network filter weights are trained with the help of heuristic technique i.e. teaching learning-based optimization (TLBO) technique. It is a nonlinear adaptive filter and helps in removing a specific or mixed type of noise.

Why is it important?

The proposed work simple in design as well as implementation because it uses single layer neural network i.e. FLANN and for improving the performance level of recently developed TLBO is applied to update the weights. Overall, developed filter improve the accuracy level and not only suppress the dominant rician noise but also able to suppress Gaussian and impulse noise. Hence, TLBO-FLANN filter avoids the problem of selecting a particular algorithm for specific noise.

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The following have contributed to this page:
Manish Kumar
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