NDLI: Novel Median Filter for Impulse Noise Suppression from Digital Images

Content Provider	Semantic Scholar
Author	Geeta, Hundal Latte, Mrityunjaya V.
Copyright Year	2014
Abstract	filters and its variants are commonly used for impulse noise removal, but they result in loss of image details. Also, for high noise levels, they are not sufficient in completely removing the noise. The work presented in this paper aims at developing a Novel Median Filter (NMF) and its application to image restoration problem. The restoration problem considered here is an impulsive noise cleaning of the noisy and degraded grey scale images. MATLAB simulations are performed on hundreds of noisy images and the results are presented for impulse noise suppression of the well-known "Lena" image. Performance analysis of the proposed NMF indicates that this new method effectively suppresses the impulse noise in the image while preserving the image edge information while enhancing the perception of the affected image as observed by the filtered images through visual analysis. Promising results obtained for Peak Signal to Noise Ratio (PSNR) and the Mean Square Error (MSE) are also compared to the standard median filter and its variants.
Starting Page	18
Ending Page	21
Page Count	4
File Format	PDF HTM / HTML
Volume Number	106
Alternate Webpage(s)	https://www.ijcaonline.org/archives/volume106/number8/18540-9761?format=pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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