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- Title
Simulated Evaluation of Adaptive Median Filter for Noise Removal on SPN and Random-Valued Impulse Noise.
- Authors
Patanavijit, Vorapoj; Thakulsukanant, Kornkamol
- Abstract
One of the most impressive and practical noise removal is the (SMF) Standard Median Filter for removing SPN (Salt and Pepper Noise). Based on the SMF, the AMF (Adaptive Median Filter) has been proposed since 1995 and has superior efficiency however its filter is not desired for removing RVIN (random-valued impulsive noise). Consequently, this paper exhaustively analyses the AMF efficiency and its restriction when this AMF is employed in the noise removal for both SPN and RVIN (randomvalued impulsive noise). In this simulated outcomes, nine conventional images (Lena, Mobile (10th Frame), Pepper, Pentagon, Girl, Resolution, Baboon, House, Airplane) corrupted under both SPN and RVIN (random-valued impulsive noise) at plentiful distributions are uses to determine the AMF efficiency in both noise detection precision and noise removal efficiency point of view. Moreover, this statistical analysis is used to investigate the AMF efficiency in term of its mean and standard deviation of PSNR.
- Subjects
NOISE control; BURST noise; MEDIAN filters (Electronics)
- Publication
International Journal of Simulation -- Systems, Science & Technology, 2018, Vol 19, Issue 5, p29.1
- ISSN
1473-8031
- Publication type
Article
- DOI
10.5013/IJSSST.a.19.05.29