Complex-fuzzy adaptive image restoration: an artificial-bee-colony-based learning approach

@inproceedings{Li2011ComplexfuzzyAI,
  title={Complex-fuzzy adaptive image restoration: an artificial-bee-colony-based learning approach},
  author={Chunshien Li and Fengtse Chan},
  booktitle={ACIIDS 2011},
  year={2011}
}
A complex-fuzzy approach using complex fuzzy sets is proposed in the paper to deal with the problem of adaptive image noise cancelling. A image may be corrupted by noise, resulting in the degradation of valuable image information. Complex fuzzy set (CFS) is in contrast with traditional fuzzy set in membership description. A CFS has the membership state within the complexvalued unit disc of the complex plane. Based on the membership property of CFS, we design a complex neural fuzzy system (CNFS… CONTINUE READING
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