This project implements a convolutional autoencoder for image denoising using the MNIST handwritten digit dataset. The autoencoder learns to remove artificially added noise from digit images, ...

Paper Title: Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder Authors: Chakravarty R. Alla Chaitanya, Anton S. Kaplanyan, Christoph Schied, Marco Salvi ...

However, writing in images has many problems, especially tediously saved documents that can cause noise or interference in the picture, resulting in difficultly recognized writing. Our research aims ...

Image Denoising Using Various Techniques Overview This repository is dedicated to the task of reducing noise in images using an autoencoder specifically designed for RGB images.

For picture denoising in this investigation, a CNN autoencoder with convolutional, max-pooling, and upsampling layers was used. The design consists of a decoder that reconstructs the image, an encoder ...

Keywords: hyperspectral images, spectral unmixing, endmembers, abundance maps, image processing, deep learning, autoencoder, algal bloom Citation: Alfaro-Mejía E, Manian V, Ortiz JD and Tokars RP ...

Denoising-autoencoder-facilitated MEMS computational spectrometer with enhanced resolution on a silicon photonic chip Journal: Nature Communications Published: 2024-11-26 DOI: 10.1038/s41467-024 ...