Detecting generalized salt and pepper noise image based on standard deviation
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Creator 1. Ratthasart Thawong
2. Supap Sakha
3. Watcharin Klongdee
Title Detecting generalized salt and pepper noise image based on standard deviation
Publisher Faculty of Engineering, Khon Kaen University
Publication Year 2559
Journal Title KKU Engineering Journal
Journal Vol. 43
Journal No. S1
Page no. 125-129
Keyword Noise detection, Generalized salt pepper noise, Standard deviation
ISSN 0125-8273
Abstract The goal of this research is to detect generalized salt and pepper noise in grayscale and color images, using strip window and standard deviation. We compared the performance of algorithms between proposed algorithm (PA), Rank-Ordered Absolute Differences (ROAD), and Rank-Ordered Logarithmic Differences (ROLD) in term of Peak Signal to Noise Ratio (PSNR). We found that PA is better than ROAD and ROLD.
KKU Engineering Journal

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