Microstructure reconstruction via artificial neural networks: a combination of causal and non-causal approach
Microstructure reconstruction via artificial neural networks: a combination of causal and non-causal approach
We investigate the applicability of artificial neural networks (ANNs) in reconstructing a sample image of a sponge-like microstructure. We propose to reconstruct the image by predicting the phase of the current pixel based on its causal neighbourhood, and subsequently, use a non-causal ANN model to smooth out the reconstructed image …