Intelligent noise detection and filtering using neuro-fuzzy system

Authors:
Sohail Masood;Ayyaz Hussain;M. Arfan Jaffar;Tae-Sun Choi
Affiliations:
National University of Computer & Emerging Sciences, Islamabad, Pakistan;International Islamic University, Islamabad, Pakistan;National University of Computer & Emerging Sciences, Islamabad, Pakistan and Gwangju Institute of Science & Technology, Gwangju, South Korea;Gwangju Institute of Science & Technology, Gwangju, South Korea
Venue:
Multimedia Tools and Applications
Year:
2013

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Abstract

In this paper, we propose a neuro-fuzzy based blind image restoration to remove impulse noise from low as well as highly corrupted images. Main components of the proposed technique include noise detection, histogram estimation and noise filtering process. Proposed technique constructs the fuzzy sets using fuzzy number construction algorithm. These fuzzy sets are used in noise filtering process to remove impulse noise from the noisy pixels using neuro-fuzzy inference system and fuzzy decider. Experimental results are based on global and local error measures, which prove that the proposed technique gives superior results than the present well known impulse noise filtering methods.