A hybrid neuro-fuzzy filter for edge preserving restoration of images corrupted by impulse noise

2006 ◽  
Vol 15 (4) ◽  
pp. 928-936 ◽  
Author(s):  
M.E. Yuksel
Keyword(s):  
Impulse Noise ◽  
Fuzzy Filter ◽  
Edge Preserving ◽  
Neuro Fuzzy

scholarly journals Edge Preserving Fuzzy Filter for Suppression of Impulse Noise in Images

2019 ◽  
Vol 8 (6) ◽  
pp. 1627-1633
Keyword(s):  
Impulse Noise ◽  
Similarity Index ◽  
Structural Similarity ◽  
Fuzzy Filter ◽  
Structural Similarity Index ◽  
Edge Preserving ◽  
Edge Pixel ◽  
Noisy Pixel ◽  
Simulation Results ◽  
Index Measure

Impulse noise in images culminates to the loss of valuable information. This paper proposes an efficient fuzzy filter for suppression of impulse noise in images (EFFSIN). Firstly, impulse noise is effectively detected by the proposed algorithm with the utilization of Fuzzy C-Means (FCM) in two stages.Only legitimate pixels are restored after fair distiction of noisy pixel from edge pixel. Proper restoration of noisy pixel following effective detection by proposed work leads to low miss detection(MD) and false alarm (FA) rates. Simulation results depict the efficacy of the proposed filter with reference to peaksignal-to-noise ratio (PSNR) and structural similarity index measure (SSIM).

Directional weighted hybrid median based fuzzy filter for de-noising random valued impulse noise

2020 ◽  
Author(s):  
R. Marudhachalam ◽  
S. Selvanayaki ◽  
R. Tamilselvi ◽  
P. Devaki
Keyword(s):  
Impulse Noise ◽  
Fuzzy Filter

A fuzzy filter for the removal of random impulse noise in image sequences

2011 ◽  
Vol 29 (6) ◽  
pp. 407-419 ◽  
Author(s):  
Tom Mélange ◽  
Mike Nachtegael ◽  
Stefan Schulte ◽  
Etienne E. Kerre
Keyword(s):  
Impulse Noise ◽  
Image Sequences ◽  
Fuzzy Filter ◽  
Random Impulse
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