NDLI: Impulse noise detection technique based on fuzzy set

Content Provider	IET Digital Library
Author	Ananthi, V. P. Balasubramaniam, P. Raveendran, P.
Abstract	In this study, a new fuzzy-based technique is introduced for denoising images corrupted by impulse noise. The proposed method is based on the intuitionistic fuzzy set (IFS), in which the degree of hesitation plays an important role. The degree of hesitation of the pixels is obtained from the values of memberships of the object and the background of the image. After minimising the obtained hesitation function, the IFS is constructed and the noisy pixels are detected outside the neighbourhood of mean intensity of the object and the background of an image. Denoised images are relatively analysed with five other methods: modified decision-based unsymmetric trimmed median filter, noise adaptive fuzzy switched median filter, adaptive fuzzy switching weighted average filter, adaptive weighted mean filter, iterative alpha trimmed mean filter. Performances of the proposed method along with these five state-of the-art methods are evaluated using a peak signal-to-noise ratio and error rate along with the time for computation. Experimentally, derived denoising method showed an improved performance than five other existing techniques in filtering noise in images due to the reduction of uncertainty while choosing the noisy pixels.
Starting Page	12
Ending Page	21
Page Count	10
ISSN	17519675
Volume Number	12
e-ISSN	17519683
Issue Number	Issue 1, Feb (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/12/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0538
Journal	IET Signal Processing
Publisher Date	2017-08-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Filter Adaptive Fuzzy Switching Weighted Average Filter Adaptive Weighted Mean Filter Combinatorial Mathematics Computer Vision And Image Processing Technique Fuzzy Set Theory Fuzzy-based Technique Hesitation Function IFS Image Denoising Image Filtering Impulse Noise Impulse Noise Detection Technique Interpolation And Function Approximation Intuitionistic Fuzzy Set Iterative Alpha Trimmed Mean Filter Iterative Method Modified Decision-based Unsymmetric Trimmed Median Filter Noise Adaptive Fuzzy Switched Median Filter Numerical Analysis Optical, Image And Video Signal Processing Signal to Noise Ratio
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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