The deep neural network architecture, called a denoising autoencoder, is similar to FlowNet and U-Net and consists of encoder and decoder components to progressively subsample and upsample inputs ...

Various effective algorithms have been proposed in the past two decades for nonlinear PDEs arising from the unconstrained total-variation-based image denoising problem regularizing the total variation ...

Researchers in Australia have developed a simplified residual network-based architecture method to filter out noise from electroluminescence images of PV modules. The proposed technique reportedly ...