Abstract
We introduce a new approach for image noise cancellation based on fuzzy similarity. The proposed method allows for simple tuning of fuzzy filter properties and is very convenient for high-speed real-time processing. An example structure with estimated execution time is presented. Comparisons with other image noise cancellation techniques show the advantages of the method.
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Tolt, G., Kalaykov, I. (2002). Fuzzy-Similarity-Based Image Noise Cancellation. In: Pal, N.R., Sugeno, M. (eds) Advances in Soft Computing — AFSS 2002. AFSS 2002. Lecture Notes in Computer Science(), vol 2275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45631-7_55
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DOI: https://doi.org/10.1007/3-540-45631-7_55
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