There was an error while loading. Please reload this page. MNIST Image Denoising using a Stacked Autoencoder This repository contains a Jupyter notebook demonstrating ...

Abstract: Image Denoising is one of the current day challenges in the field of image processing. Noise in the image is the existence of artifacts that do not start from the original picture content.

Abstract: Electrocardiogram (ECG) signals are widely utilized for cardiovascular disease monitoring. However, these signals are often susceptible to various types of noise during acquisition, which ...

Owing to the immense popularity of ray-tracing and path tracing rendering algorithms for visual effects, there has been a surge of interest in developing filtering and reconstruction methods to deal ...

A deep count autoencoder network to denoise scRNA-seq data and remove the dropout effect by taking the count structure, overdispersed nature and sparsity of the data into account using a deep ...

Before and after: example of image denoising as applied to atomic resolution imaging of a gold nanoparticle. On the left is the original experimental data as captured. On the right is the same image ...