Rescale#

class deeptrack.holography.Rescale(rescale=1, **kwargs)#

Bases: Feature

Rescales an optical field by modifying its real and imaginary components.

The transformation is applied as:

The real part is shifted and scaled: (real - 1) * rescale + 1
The imaginary part is scaled by rescale

Parameters#

rescale: float: The scaling factor applied to both real and imaginary components.

Methods#

get(image: Image | np.ndarray, rescale: float, **kwargs: dict[str, Any]) -> Image | np.ndarray: Rescales the image while preserving phase information.

Examples#

>>> import deeptrack as dt
>>> import numpy as np
>>> field = np.random.rand(128, 128, 2)
>>> rescaled_field = dt.holography.Rescale(0.5)(field)

Methods Summary

get(image, rescale, **kwargs)

Rescales the image by subtracting the real part of the field before multiplication.

Methods Documentation

get(image: Image | np.ndarray, rescale: float, **kwargs: dict[str, Any]) → Image | np.ndarray#

Rescales the image by subtracting the real part of the field before multiplication.

Parameters#

image: Image or ndarray: The image to rescale.
rescale: float: The rescaling factor.
**kwargs: dict of str to Any: Additional keyword arguments.

Returns#

Image or ndarray: The rescaled image.