There are 4 repositories under computational-imaging topic.
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)
A curated list of resources on holographic displays.
Official Demo Code for "Unlocking the Performance of Proximity Sensors by Utilizing Transient Histograms"
(Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.
A Julia project demonstrating the fast f-k migration algorithm.
DFlat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
[CVPR'19] End-to-end Projector Photometric Compensation
Keras Implementation of the paper Residual Feature Distillation Network for Lightweight Image Super-Resolution
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging (TPAMI 2022)
Fourier ptychographic microscope based on a Raspberry Pi. Publication: 10.1038/s41598-019-43845-9
3D reconstructions of mm-scale objects from sequences of phone camera images
Repository for ptychography software
A curated list of awesome machine learning resources in the context of digital media and (interactive) computer graphics.
Tools for designing x-ray phantoms and experiments.
[ICCV'19] CompenNet++: End-to-end Full Projector Compensation
Demo for single-pixel imaging using Hadamard functions as sensing basis. Matlab/Python implementations
Computational Ultrasound Imaging Toolbox for MATLAB
Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.
Resources for computational imaging
General phase regularized MRI reconstruction using phase cycling
[CVPR 2022] Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature