Summary
The logarithmic model offers new tools for image processing. An efficient method for image enhancement, is to use an affine transformation with the logarithmic operations: addition and scalar multiplication. By adding a fuzzy setting to our model we gain flexibility and better results are possible. We define some criteria for automatically determining the parameters of the processing and this is done via the fuzzy mean and fuzzy variance computed by logarithmic operations.
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Pătraşcu, V., Buzuloiu, V., Vertan, C. (2003). Fuzzy Image Enhancement in the Framework of Logarithmic Models. In: Nachtegael, M., Van der Weken, D., Kerre, E.E., Van De Ville, D. (eds) Fuzzy Filters for Image Processing. Studies in Fuzziness and Soft Computing, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36420-7_10
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DOI: https://doi.org/10.1007/978-3-540-36420-7_10
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