srcnn
Image enhancer
Software for enhancing satellite images through deep learning techniques
Super Resolution for Satellite Imagery
76 stars
4 watching
31 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list
cnndeep-learningmachinelearning
sacridini/awesome-geospatialRelated projects:
| Repository | Description | Stars |
|---|---|---|
 trevor-m/tensorflow-srgan | An implementation of a generative adversarial network (GAN) used to improve image quality through super-resolution | 39 |
 brade31919/srgan-tensorflow | Tensorflow implementation of a generative adversarial network for single image super-resolution | 848 |
 cszn/srmd | Develops a single convolutional network to handle various image degradations with improved scalability and efficiency | 427 |
 leverxgroup/esrgan | An enhanced deep learning framework for image super-resolution tasks using Generative Adversarial Networks and PyTorch. | 151 |
| cszn/ircnn | This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. | 602 |
| cszn/bsrgan | A deep learning-based approach to super-resolution of degraded images. | 1,222 |
 jiangsutx/srn-deblur | This repository provides a Python implementation of a deep learning-based image deblurring algorithm. | 724 |
 developmentseed/label-maker | Automatically annotates satellite images with OpenStreetMap data | 461 |
| cszn/dpsr | A deep learning-based method to improve image quality by reducing blur effects | 839 |
 nrel/sup3r | Creates synthetic high-resolution spatiotemporal data for renewable energy resources using generative adversarial networks. | 88 |
 progamergov/neural-dream | An implementation of DeepDream algorithm using PyTorch for image processing and computer vision. | 133 |
 ysnan/nbd_kerunc | A repository providing pre-trained models and results for image deconvolution in the presence of kernel/model uncertainty | 14 |
 pistony/residualattentionnetwork | A Gluon implementation of Residual Attention Network for image classification tasks | 108 |
 nshaud/deepnetsforeo | Developing deep learning models for Earth Observation using remote sensing images | 477 |
 wasidennis/deepharmonization | Reimplements a deep learning model to harmonize images from different illumination conditions | 150 |