Python implementation of holographic image reconstruction algorithms
In-line Holographic Reconstruction
Python implementation of angular spectrum and multi-height phase recovery algorithms to reconstruct digital in-line holograms.
This package includes solvers for the holographic reconstruction problem. Computations can be performed on both cpu and gpu. The gpu-accelerated version is programmed on tensorflow and is auto-gradient friendly, thus can be easily employed on machine learning models.
To install the package, run:
pythom -m pip install fringe
The example files are not included in the package. To import them, clone the repository. In the git bash, run:
$ git clone https://github.com/farhadnkm/Fringe.Py
How to use
- Import images
Images must be ndarrays or tensors. A simple i/o functionality for this purpose is integrated inside the package:
from fringe.utils.io import import_image, import_image_seq, export_image from fringe.utils.modifiers import ImageToArray, PreprocessHologram, ConvertToTensor
Modifiers are preprocessing classes. These classes have a process method which is called by the import functions on any image import and returns the processed image.
image_path = 'IMAGE_PATH.tif' background_path = 'BACKGROUND_PATH.tif' p1 = ImageToArray(bit_depth=16, channel='gray', crop_window=None, dtype='float32') bg = import_image(background_path, preprocessor=p1) p2 = PreprocessHologram(background=bg) hologram = import_image(background_path, preprocessor=[p1, p2])
- Reconstruct holograms
Solvers are reconstruction algorithms having a solve function. solve functions give hologram(s) and axial distance(s) as input parameters and return a complex-valued reconstructed image.
solver = AsSolver(shape=h.shape, dx=1.12, dy=1.12, wavelength=532e-3) z = -300 amp = np.abs(solver.solve(hologram, z)) phase = unwrap_phase(np.angle(solver.solve(hologram, z)))
- Export outputs
export_image(amp, os.path.join('PATH', 'amplitude.png'), dtype='uint8') export_image(phase, os.path.join('PATH', 'phase.png'), dtype='uint8')
Examples and further details for multi-height phase recovery and gpu processing are included in the example notebooks.
Reconstructed Amplitude and phase images obtained by back propagation:
Reconstructed Amplitude and phase images obtained by MHPR method using 8 axially displaced holograms:
- First release on PyPI.
- Some bugs and errors fixed
- Minor bugs fixed
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