Abstract
A new geometrical fuzzy approach for image contrast enhancement is here presented. Synergy among ascending order statistics and entropy evaluations are exploited to get contrast enhancement by evaluation of distances among points inside fuzzy unit hyper-cube. The obtained results can be considered interesting, especially compared with consolidated techniques which encourages further studies in this direction.
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Versaci, M., Calcagno, S., Morabito, F.C. (2015). Image Contrast Enhancement by Distances Among Points in Fuzzy Hyper-Cubes. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9257. Springer, Cham. https://doi.org/10.1007/978-3-319-23117-4_43
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DOI: https://doi.org/10.1007/978-3-319-23117-4_43
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