Abstract
The poor conditions of weather dust substantially reduce the overall quality of both the images taken, thus preventing useful image data from is being detected. A simple membership function is used in the proposed technique to set the pixels of a given channel to the range of zero to one, fluctuating intensifying operators applied according to various threshold and a new adjustment method designed specifically for this technology. Fuzzy theory provides a major issue—solving method between classical mathematics accuracy and the real world ‘is inherent imprecision. Fuzzy logic addresses the study of potential logic or several valued logics; instead of specified and accurate rationale, it applies approximation. This research aims to check the processing capability of the method proposed, whereby the findings acquired are able to filter the numerous degraded images.
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Begum, S.F., Swathi, P. (2021). Enhancement of Degraded Images via Fuzy Intensification Model. In: Gunjan, V.K., Zurada, J.M. (eds) Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough. Studies in Computational Intelligence, vol 956. Springer, Cham. https://doi.org/10.1007/978-3-030-68291-0_29
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DOI: https://doi.org/10.1007/978-3-030-68291-0_29
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