“…Where r refers to Original image, n gives the corrupted image, x denotes restored image, M x N is the size of Processed image [13]. The existing algorithms used for the comparison are SMF, AMF, CWF, TDF, PSMF, DPF for comparing Fixed value impulse noise.…”
Section: Simulation Results and Discussionmentioning
confidence: 99%
“…Resulting array is sorted in a snake like order. The procedure is repeated for the other windows of the image [13].…”
Section: Snake Like Improved Shear Sortingmentioning
confidence: 99%
“…If both case 1 and case 2 fails then the pixel is termed as non noisy. The pixel is left unaltered [13].…”
Section: Step 4: Salt and Pepper Noise Correction Logicmentioning
confidence: 99%
“…Now perform impulse detection │119-104│ > 40. This condition is false and hence processed pixel is considered as non noisy hence left unaltered[13].…”
“…Where r refers to Original image, n gives the corrupted image, x denotes restored image, M x N is the size of Processed image [13]. The existing algorithms used for the comparison are SMF, AMF, CWF, TDF, PSMF, DPF for comparing Fixed value impulse noise.…”
Section: Simulation Results and Discussionmentioning
confidence: 99%
“…Resulting array is sorted in a snake like order. The procedure is repeated for the other windows of the image [13].…”
Section: Snake Like Improved Shear Sortingmentioning
confidence: 99%
“…If both case 1 and case 2 fails then the pixel is termed as non noisy. The pixel is left unaltered [13].…”
Section: Step 4: Salt and Pepper Noise Correction Logicmentioning
confidence: 99%
“…Now perform impulse detection │119-104│ > 40. This condition is false and hence processed pixel is considered as non noisy hence left unaltered[13].…”
“…The trimming was not uniform as in the previous case; it depends on pixels inside the current processing window. So for the removal of salt and pepper noise at high noise densities with edge preservation (DBUTVF) decision based unsymmetrical trimmed variants filter is proposed [9].…”
A Decision based scheme using a improved mesh based snake like sorting is proposed for the restoration of gray scale images that are heavily corrupted by salt and pepper noise. The proposed algorithm uses modified mean or median for image restoration. The processed pixel is examined for 0 or 255; if checked pixel is equal to 0 or 255, then it is considered as noisy pixel else not noisy. The noisy pixel is replaced by median of unsymmetrical trimmed output, if the current window has at least three noisy pixels or mean of first and last values of the un-symmetrical trimmed output. The uncorrupted pixel is left unchanged. The proposed algorithm shows excellent noise suppression capability with good edge preservation in heavy noisy conditions both qualitative and quantitatively. The proposed algorithm was applied on various grayscale images and found to have excellent PSNR and high IEF , low MSE and consumes less time even at very high noise densities with edge preservation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.