GitHub / YasinRezvani / Image_Denoising_Using_FFT_and_DnCNN
This project explores the effectiveness of FFT filters and DnCNN denoising in improving image quality by reducing noise in digital images.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YasinRezvani%2FImage_Denoising_Using_FFT_and_DnCNN
PURL: pkg:github/YasinRezvani/Image_Denoising_Using_FFT_and_DnCNN
Stars: 8
Forks: 1
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 2.5 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago
Topics: computer-vision, convolutional-neural-networks, deep-learning, denoising, digital-image-processing, dncnn, fft, fft-filters, image-enhancement, image-processing, mage-filtering, neural-networks, noise-reduction, python, pytorch, rezvani, signal-processing, yasin, yasin-rezvani, yasin-rezvani-github