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Fuzzy-Similarity-Based Image Noise Cancellation

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Advances in Soft Computing — AFSS 2002 (AFSS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2275))

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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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© 2002 Springer-Verlag Berlin Heidelberg

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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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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43150-3

  • Online ISBN: 978-3-540-45631-5

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