httomolibgpu.prep.phase#
Modules for phase retrieval and phase-contrast enhancement
- httomolibgpu.prep.phase.paganin_filter_savu(data: <cp.ndarray>, ratio: float = 250.0, energy: float = 53.0, distance: float = 1.0, resolution: float = 1.28, pad_y: int = 100, pad_x: int = 100, pad_method: str = 'edge', increment: float = 0.0) <cp.ndarray>[source]#
Apply Paganin filter (for denoising or contrast enhancement) to projections.
- Parameters:
data (cp.ndarray) – The stack of projections to filter.
ratio (float, optional) – Ratio of delta/beta.
energy (float, optional) – Beam energy in keV.
distance (float, optional) – Distance from sample to detector in metres.
resolution (float, optional) – Pixel size in microns.
pad_y (int, optional) – Pad the top and bottom of projections.
pad_x (int, optional) – Pad the left and right of projections.
pad_method (str, optional) – Numpy pad method to use.
increment (float, optional) – Increment all values by this amount before taking the log.
- Returns:
The stack of filtered projections.
- Return type:
cp.ndarray
- httomolibgpu.prep.phase.paganin_filter_tomopy(tomo: <cp.ndarray>, pixel_size: float = 0.0001, dist: float = 50.0, energy: float = 53.0, alpha: float = 0.001) <cp.ndarray>[source]#
Perform single-material phase retrieval from flats/darks corrected tomographic measurements. See [6] for a reference.
- Parameters:
tomo (cp.ndarray) – 3D array of f/d corrected tomographic projections.
pixel_size (float, optional) – Detector pixel size in cm.
dist (float, optional) – Propagation distance of the wavefront in cm.
energy (float, optional) – Energy of incident wave in keV.
alpha (float, optional) – Regularization parameter, the ratio of delta/beta. Larger values lead to more smoothing.
- Returns:
The 3D array of Paganin phase-filtered projection images.
- Return type:
cp.ndarray