Generalized fuzzy peer group for removal of mixed noise from color image

R Dev, NK Verma - IEEE Signal Processing Letters, 2018 - ieeexplore.ieee.org
In this letter, a novel method has been proposed, which includes formulation of similarity
function and a fuzzy-based method for filtering mixed noise. The similarity function is
adaptive to local noise level and edge information, and it is used to detect similarity among
pixels in a peer group. Based on the peer group, color image corrupted with mixed Gaussian
and impulse noise is filtered. The novel method for filtering is an adaptive weighted average
of different sized filters. The weights of different sized filters are adaptive to local noise and …

[引用][C] Generalized fuzzy peer group for removal of mixed noise from color image. IEEE Signal Proces Lett 25 (9): 1330–1334

R Dev, NK Verma - 2018
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