Evolving Takagi-Sugeno fuzzy model based on switching to neighboring models
Applied Soft Computing
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Digital watermarking has been a popular topic in both researches and applications in the last decade. Based on previous experiences in literature, designing one good watermarking algorithm is desired, and how to assess how good the algorithm is should be based on the preset requirements. Here we use one optimization technique named bacterial foraging and we employ the concept in fuzzy theory to design an effective fitness function with the predetermined requirements. Unlike conventional scheme to fix the components in fitness function, by using the fuzzy concept, better results can be obtained. Simulation results demonstrate the advantages of the proposed algorithm over existing ones in literature.