Abstract
In this paper, we present a filtering scheme based on adaptive neuro-fuzzy inference system (ANFIS) for restoration of color images. The adaptive neuro-fuzzy impulse noise detector provides a reliable detection of noisy pixels in the noisy images. The filtering stage combines the best features of both component-based as well as vector-based approaches to restore the pixel value. The proposed scheme, thus, performs both brightness and color correction. Efficacy of the proposed method is verified through computer simulations which indicate that the present filtering scheme outperforms several other filters used in the study.
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Ghanekar, U., Singh, A.K., Pandey, R. (2010). Impulse Noise Removal from Color Images Using Adaptive Neuro–fuzzy Impulse Detector. In: Ranka, S., et al. Contemporary Computing. IC3 2010. Communications in Computer and Information Science, vol 94. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14834-7_35
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DOI: https://doi.org/10.1007/978-3-642-14834-7_35
Publisher Name: Springer, Berlin, Heidelberg
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