phaseretrieval.tiehom

Functions:

tiehom_plan(im, beta, delta, energy, ...)	Pre-compute data to save time in further execution of phase_retrieval with TIE-HOM (Paganin’s) algorithm.
tiehom(im, plan[, nr_threads])	Process a tomographic projection image with the TIE-HOM (Paganin’s) phase retrieval algorithm.

stp_core.phaseretrieval.tiehom.tiehom(im, plan, nr_threads=2)

Process a tomographic projection image with the TIE-HOM (Paganin’s) phase retrieval algorithm.

Parameters:

• im (array_like) – Flat corrected image data as numpy array.
• plan (structure) – Structure with pre-computed data (see tiehom_plan function).
• nr_threads (int) – Number of threads to be used in the computation of FFT by PyFFTW (default = 2).

stp_core.phaseretrieval.tiehom.tiehom_plan(im, beta, delta, energy, distance, pixsize, padding)

Pre-compute data to save time in further execution of phase_retrieval with TIE-HOM (Paganin’s) algorithm.

Parameters:

• im (array_like) – Image data as numpy array. Only image size (shape) is actually used.
• beta (double) – Immaginary part of the complex X-ray refraction index.
• delta (double) – Decrement from unity of the complex X-ray refraction index.
• energy [KeV] (double) – Energy in KeV of the incident X-ray beam.
• distance [mm] (double) – Sample-to-detector distance in mm.
• pixsize [mm] (double) – Size in mm of the detector element.
• padding (bool) – Apply image padding to better process the boundary of the image