InverseFourierTransform

class deeptrack.optical.holography.InverseFourierTransform(**kwargs: Any)

Bases: Feature

Computes the inverse Fourier transform of an optical field and removes padding.

The inverse Fourier transform converts a frequency-domain optical field back into the spatial domain, undoing the symmetric padding applied by FourierTransform.

Parameters

padding: int, optional

Number of pixels to remove symmetrically from each side after the inverse transform (default: 32).

Methods

get(image, padding, **kwargs) -> np.ndarray

Computes the inverse Fourier transform and removes padding.

Examples

>>> import deeptrack as dt
>>> import numpy as np
>>> field = np.random.rand(128, 128, 2)
>>> ft_op = dt.holography.FourierTransform()
>>> transformed_field = ft_op(field)
>>> ift_op = dt.holography.InverseFourierTransform()
>>> reconstructed_field = ift_op(transformed_field)

Methods Summary

get(image[, padding])

Computes the inverse Fourier transform and removes padding.

Methods Documentation

get(image: ndarray, padding: int = 32, **kwargs: Any) → ndarray

Computes the inverse Fourier transform and removes padding.

Parameters

image: np.ndarray

The image to transform.

padding: int, optional

Number of pixels removed symmetrically after inverse transformation (default is 32).

**kwargs: Any

Additional keyword arguments.

Returns

np.ndarray

The inverse Fourier transform of the image.