Abstract
Image information maximization is an alternative method of contrast enhancement of images. There are plenty of algorithms for contrast enhancement of poor illumination images. In present paper we have proposed a novel method of psycho-visual evaluation of contrast enhancement algorithms. Adaptive Neuro-Fuzzy Inference System (ANFIS) is used here for classification of well known contrast enhancement algorithms. The metric/feature of contrast enhancement is modeled including image statistics both in spatial and frequency domain. The perception inspired model is then used for automatic classification of algorithms depending on the strength of contrast enhancement.
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Das, A., Parua, S. (2012). Psycho-Visual Evaluation of Contrast Enhancement Algorithms by Adaptive Neuro-Fuzzy Inference System. In: Kundu, M.K., Mitra, S., Mazumdar, D., Pal, S.K. (eds) Perception and Machine Intelligence. PerMIn 2012. Lecture Notes in Computer Science, vol 7143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27387-2_10
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DOI: https://doi.org/10.1007/978-3-642-27387-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27386-5
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