At 1 sample per pixel (spp), the Monte Carlo integration of indirect illumination results in very noisy images, and the problem can therefore be framed as reconstruction instead of denoising. Previous ...

Denoising Convolutional Autoencoder: A deep learning framework that reconstructs enhanced, high-resolution signals by removing noise from lower resolution inputs.

Denoising-autoencoder-facilitated MEMS computational spectrometer with enhanced resolution on a silicon photonic chip. Journal: Nature Communications Published: 2024-11-26 ...

As the autoencoder processed the data, it ‘learned’ to identify salient features in the data. A radio technosignature search towards Proxima Centauri resulting in a signal of interest (Picture ...

The use of microphone sensors to collect audible sound signals offers ... It includes 4 steps and corresponds to 4 key technologies, namely, acquisition of AS signals, denoising of AS signals, ...