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 ...

据麦姆斯咨询获悉，近日，上海大学微电子学院MEMS芯片团队在MEMS芯片级光谱仪研究上取得重要进展，成果被国际知名综合性期刊《Nature Communications》接收发表，题为“Denoising-autoencoder-facilitated MEMS computational spectrometer with enhanced resolution on a silicon ...

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 ...

In this article, we combine Donoho and Johnstone's wavelet shrinkage denoising technique (known as WaveShrink) with Breiman's non-negative garrote. We show that the non-negative garrote shrinkage ...

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 ...