principal component analysis
local pixel grouping
Wiener filter
Median filter
Gaussian filter
Order-statistic filter
and Structural Similarity
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This paper includes a comparison between denoising
techniques by using statistical approach, principal component
analysis with local pixel grouping (PCA-LPG), this procedure is
iterated second time to further improve the denoising performance,
and other enhancement filters were used. Like adaptive Wiener low
pass-filter to a grayscale image that has been degraded by constant
power additive noise, based on statistics estimated from a local neighborhood of each pixel. Performs Median filter of the input noisy image, each output pixel contains the Median value in the M-by-N neighborhood around the corresponding pixel in the input image, Gaussian low pass-filter and Order-statistic filter also be used.
Experimental results shows LPG-PCA method
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