Abstract:
The idea of this paper is to link artificial neural networks (ANN) and image filters to restore corrupted images. The ANN predicts the density of the noise in the input image. Then, the appropriate variables for filter (window) determines the ratio of the expected density of the noise.
Reference this Research Paper (copy & paste below code):
Ahmed Abdualah Aburas, Abdussalam Alhadi Addeeb
(2021); Digital Image Restoration via Neural Networks Design; International Journal of Scientific and Research Publications (IJSRP)
11(9) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.11.09.2021.p11740
