Psycho-visual evaluation of contrast enhancement algorithms by adaptive neuro-fuzzy inference system

Authors:
Apurba Das;Suparna Parua
Affiliations:
Centre for Development of Advanced Computing (CDAC), Kolkata, India;Centre for Development of Advanced Computing (CDAC), Kolkata, India
Venue:
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Year:
2012

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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.