Abstract
A grayscale images enhancement algorithm based on fuzzy Technique, with the ability to remove impulsive noise, while, simultaneously, enhancing contrast and preserving edges and image details efficiently, is proposed in this paper. To achieve these image enhancement goals, we first partition the pixels into smooth regions and boundary regions according to their neighborhood. Next we transform the image into several fuzzy sets corresponding to the smooth regions. The nonlinear enhancement is implemented in each fuzzy set. To demonstrate the capability of our filtering approach, it was tested on several different image enhancement problems. Comparing the classical methods, These experimental results demonstrate filtering quality, and image sharpening ability of the new filter.
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Cheng, D., Shi, D., Tang, X., Liu, J. (2013). A Local-Context-Based Fuzzy Algorithm for Image Enhancement. In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_21
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DOI: https://doi.org/10.1007/978-3-642-36669-7_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36668-0
Online ISBN: 978-3-642-36669-7
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