Abstract
The brief analysis of methods for contrast enhancement of gray images is performed. The application of fuzzy logic for image binarization and contrast enhancement is emphasized. The drawbacks of known methods are shown. To transfer from spatial domain to fuzzy one by the way of additional optimization of the of S-type membership function shape over its steepness by the change of order, which can be both whole number and fractional one, is proposed. The new method of image reconstruction from the smoothed one after the local contrast enhancement in the fuzzy domain is applied. The effectiveness of proposed method is illustrated on the examples.
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Vorobel, R., Berehulyak, O. (2006). Gray Image Contrast Enhancement by Optimal Fuzzy Transformation. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_90
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DOI: https://doi.org/10.1007/11785231_90
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