FourierTransform#

class deeptrack.holography.FourierTransform(**kwargs)#

Bases: Feature

Computes the Fourier transform of an optical field with optional symmetric padding.

The Fourier transform converts a spatial-domain optical field into the frequency domain.

Parameters#

padding: int, optional

Number of pixels to pad symmetrically around the image (default: 32).

Methods#

get(image: Image | np.ndarray, padding: int, **kwargs: dict[str, Any]) -> np.ndarray

Computes the 2D Fourier transform of the input image.

Returns#

np.ndarray

The complex Fourier-transformed image.

Notes#

  • Uses np.fft.fft2 for fast computation.

  • Pads the image symmetrically to avoid edge artifacts.

  • Returns a complex-valued result.

Methods Summary

get(image[, padding])

Computes the Fourier transform of the image.

Methods Documentation

get(image: Image | np.ndarray, padding: int = 32, **kwargs: dict[str, Any]) → np.ndarray#

Computes the Fourier transform of the image.

Parameters#

image: Image or ndarray

The image to transform.

padding: int, optional

Number of pixels to pad symmetrically around the image (default is 32).

**kwargs: dict of str to Any

Returns#

np.ndarray

The Fourier transform of the image.