Python implementation of distortion correction methods for X-ray tomography

A python package, named Discorpy, is the implementation of distortion correction methods published in Optics Express [N. T. Vo et al., "Radial lens distortion correction with sub-pixel accuracy for X-ray micro-tomography," 23, 32859-32868 (2015)]. It is useful for calibrating an imaging system which is highly configurable and requires frequent disassembly for maintenance or replacement of parts. The techniques require a single image of a calibration target. A main application of the methods is for synchrotron-based parallel-beam X-ray tomography where specially designed optics is being used for imaging X-rays after conversion to visible light. Here, distortion as small as 1 pixel introduces artifacts in reconstructed images.

Since version 1.4, correction of perspective distortion was added to the package. Documentation is at: https://discorpy.readthedocs.io/en/latest/