caa a22 4500 606159827 CHVBK 20210128100626.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00521-014-1767-x doi (NATIONALLICENCE)springer-10.1007/s00521-014-1767-x Reduction in impulse noise in digital images through a new adaptive artificial neural network model [Elektronische Daten] [Cafer Budak, Mustafa Türk, Abdullah Toprak] In this paper, an adaptive artificial neural network model is developed in order to restore severely corrupted images. The proposed new and effective impulse noise reduction filter is named as adaptive neural network models with an algorithm based on artificial neural networks. Networks trained at different noise intensities get activated according to the intensity of the noise and estimate the most suitable neighboring pixel that can replace the corrupted pixel. The proposed algorithm reduces impulse noise effectively while also protecting the details. Experimental results show that the proposed algorithm performs better compared with other traditional filters. The Natural Computing Applications Forum, 2014 Impulse noise nationallicence Neural network nationallicence Image enhancement nationallicence Image restoration nationallicence Budak Cafer Department of Electric-Electronic Engineering, Batman University, 72060, Batman, Turkey aut Türk Mustafa Department of Electric-Electronic Engineering, Fırat University, 23119, Elazig, Turkey aut Toprak Abdullah Department of Electric-Electronic Engineering, Dicle University, 21280, Diyarbakir, Turkey aut Neural Computing and Applications Springer London 26/4(2015-05-01), 835-843 0941-0643 26:4<835 2015 26 521 https://doi.org/10.1007/s00521-014-1767-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1767-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Budak Cafer Department of Electric-Electronic Engineering, Batman University, 72060, Batman, Turkey aut NATIONALLICENCE 700 1- Türk Mustafa Department of Electric-Electronic Engineering, Fırat University, 23119, Elazig, Turkey aut NATIONALLICENCE 700 1- Toprak Abdullah Department of Electric-Electronic Engineering, Dicle University, 21280, Diyarbakir, Turkey aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/4(2015-05-01), 835-843 0941-0643 26:4<835 2015 26 521