RobertGawron / supper-resolution
Super-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.
☆114Updated 5 years ago
Alternatives and similar repositories for supper-resolution:
Users that are interested in supper-resolution are comparing it to the libraries listed below
- A framework for multiframe super-resolution (enhancing the quality of an image from multiple similar low-resolution images) with support …☆48Updated 8 years ago
- Super Resolution of picture images using deep learning☆85Updated 8 years ago
- Python implementation of RASL image alignment algorithm☆53Updated 3 years ago
- Image inpainting using coherency senstitive hashing☆52Updated 9 years ago
- single image super resolution algorithm implementation☆36Updated 8 years ago
- OpenCV-based Python application for automatically stitching together a directory of images☆71Updated 8 years ago
- Saurabh23 / mSRGAN-A-GAN-for-single-image-super-resolution-on-high-content-screening-microscopy-images.Generative Adversarial Network for single image super-resolution in high content screening microscopy images☆59Updated 7 years ago
- An implementation of https://dmitryulyanov.github.io/deep_image_prior for tensorflow.☆68Updated 7 years ago
- ☆87Updated 7 years ago
- Replicate study for 'Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network' with te…☆23Updated 8 years ago
- A collection of image smoothing algorithms.☆159Updated 10 years ago
- Image Naturalization = Enhancement + Image Quality Assessment☆37Updated 6 years ago
- Torch Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"☆203Updated 8 years ago
- Matlab reimplementation of SCNSR☆76Updated 8 years ago
- SUper REsolution MEthods☆136Updated 4 years ago
- SRCNN - Super-resolution using convolutional neural networks. Uses OpenCL to execute on the GPU.☆29Updated 9 years ago
- SRGAN implemetation with TensorFlow☆83Updated 7 years ago
- Code: A Computational Approach for Obstruction-Free Photography☆19Updated 8 years ago
- Matlab implementation of "Super-Resolution From a Single Image", by Glasner, Bagon and Irani.☆19Updated 9 years ago
- Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network☆49Updated 8 years ago
- Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution☆127Updated 7 years ago
- A Comparative Study for Single Image Blind Deblurring (CVPR 2016)☆132Updated 6 years ago
- Image deblurring with Convolutional Neural Networks. Scripts & Neural network models available here☆72Updated 6 years ago
- An implement of SRGAN(Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) for tensorflow version☆50Updated 7 years ago
- ☆75Updated 6 years ago
- torch implementation of srgan☆80Updated 8 years ago
- Automated image color correction / enhancement with Deep Learning (CNN) ***(NO LONGER MAINTAINED)☆60Updated 8 years ago
- Tensorflow implementation of the paper "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution"☆104Updated 6 years ago
- One Network to Solve Them All☆84Updated 6 years ago
- Python wrapper around bm3d☆135Updated 5 years ago