Abstract
This paper develops a contrast enhancement technique to recover an image within a given area, from a blurred and darkness specimen, and improve visual quality. The technique consists of two steps. Firstly determine a transform function that stretches the occupied gray scale range for the image secondly the transformation function is optimized using genetic algorithms with respect to the test image. Experimental results are presented using our developed technique on real images, which are hard to be contrasted by other conventional techniques.
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Mustafi, A., Mahanti, P.K. (2009). An Optimal Algorithm for Contrast Enhancement of Dark Images Using Genetic Algorithms. In: Lee, R., Hu, G., Miao, H. (eds) Computer and Information Science 2009. Studies in Computational Intelligence, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01209-9_1
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DOI: https://doi.org/10.1007/978-3-642-01209-9_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01208-2
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