Enhancing the quality of X-ray images using various methods is one of the goals of our thesis on using X-ray imaging to detect Covid-19. They are CLAHE, UM, and HEF, in that order. The codes for these algorithms can be found in this repository.
Testing was also done on CT scan images to measure the performance of the algorithms.
Data was collected from the following sources:
- Augmented COVID-19 X-ray Images Dataset
- IEEE8083/Covid-Chestxray-dataset
- Covid-19 CT Segmentation Dataset
For benchmark data, please check the benchmarks folder.