Author:
Sridevi J.,Raghava Prasad Ch.,Vasanth K.
Publisher
Springer Nature Singapore
Reference12 articles.
1. Mafi M, Izquierdo W, Adjouadi M (2020) High impulse noise removal in natural images using conventional neural networks. National Science Foundation (NSF), Dissertation Year Fellowship (DYF). IEEE, pp 0673–0677. ISBN: 978-1-7281-3783-4/20
2. Ali H (2016) A new method to remove sap noise in magnetic resonance images. IEEE, pp 155–160. ISBN: 978-1-5090-3267-9/16
3. IsmaIrum MS, Raza M, Mohsin S (2015) A nonlinear hybrid filter for sap noise removal for color images. J Appl Res Technol 13:79–86
4. Lu CT, Chen YY, Wang LL, Chang CF (2016) Removal of salt-and-pepper noise in the corrupted image using a three-values-weighted approach with variable-size window. Pattern Recognit Lett 80:188–199
5. Qistina A, Taha Md, Ibrahim H (2020) In: Jamaluddin Z, Ali Mokhtar MN (eds) Reduction of salt-and-pepper noise from digital grayscale image by using recursive switching adaptive median filter. Sympo SIMM 2019. LNME, pp 32–47