L. S. Yasenko,Yaroslav Klyatchenko,Oksana Tarasenko-Klyatchenko
标识
DOI:10.1109/dessert50317.2020.9125027
摘要
Neural networks are used in many tasks today. One of them is the images processing. Autoencoder is very popular neural networks for such problems. Denoising autoencoder is an important autoencoder because some tasks we need a preprocessed image to get less noisy result. This research describes ways to analyze noisy images produced by a physically-based render engine and how to reduce that noise. The results showed that the algorithms are logarithmic.