NDLI: Fuzzy impulse noise detector for efficient image restoration

Content Provider	IEEE Xplore Digital Library
Author	Meher, S.K. Patel, P.
Copyright Year	2011
Description	Author affiliation: Systems Science and Informatics Unit, Indian Statistical Institute, Bangalore Center, 8th Mile, RVCE Post, 560059, INDIA (Meher, S.K.) \|\| Department of Computer Science, Purushottam Inst. of Engg. & Technology, Rourkela-770034, INDIA (Patel, P.)
Abstract	The present article proposes an efficient restoration model for images corrupted with impulse noise of varying values that follow a random distribution over some dynamic range. The model extracts a set of informative features, uses a fuzzy detector based on product aggregation reasoning rule for noisy pixels detection and noise removal operator for filtration. The fuzzy set-based detector provides a better learning and generalization capability for improved detection. The model thus explores mutually the advantages of both fuzzy detector and noise removal operator. Superiority of the proposed model to other similar methods is established both visually and quantitatively in removing impulse noise from highly corrupted images. With experimental results, it is found that the proposed model performs better and at the same time takes less computational time than others.
Starting Page	701
Ending Page	705
File Size	1870698
Page Count	5
File Format	PDF
ISBN	9781424494781
e-ISBN	9781424494774
DOI	10.1109/RAICS.2011.6069401
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	PSNR Detectors Dynamic range Feature extraction Image restoration Noise measurement
Content Type	Text
Resource Type	Article

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