psf_generator.utils.czt#
A collection of custom 2D FFT functions.
custom_fft2: custom 2D FFT
custom_ifft2: custom 2D inverse FFT
czt1d: 1D chirp Z-transform
czt2d: 2D chirp Z-transform
Functions#
|
Custom 2D FFT that allows to zoom on the region of interest in the Fourier plane. |
|
Custom 2D inverse FFT that allows to zoom on the region of interest in the Fourier plane. |
Module Contents#
- psf_generator.utils.czt.custom_fft2(x: torch.Tensor, shape_out=None, k_start: float = 0.0, k_end: float = 2 * torch.pi, norm: str = 'ortho', fftshift_input: bool = False, include_end: bool = False) torch.Tensor[source]#
Custom 2D FFT that allows to zoom on the region of interest in the Fourier plane.
The output image is square.
Parameters#
- xtorch.Tensor
Input square image
- shape_outsequence of ints, optional
Shape of the output image. If None, same as the shape of the input.
- k_startfloat
Start point of sampling on the complex circle. Default is 0.0.
- k_endfloat
End point of sampling on the complex circle. Default is \(2\pi\).
- norm{“ortho”, “forward”, “backward”}, optional
Normalization mode. Default is “ortho”.
- fftshift_inputbool, optional
Whether to apply fftshift on the input image. Default is “False”.
- include_endbool, optional
Whether to include the end point of sampling. Default is “False”.
Returns#
- outputtorch.Tensor
Custom 2D FFT of the input image.
- psf_generator.utils.czt.custom_ifft2(x: torch.Tensor, shape_out=None, k_start: float = 0.0, k_end: float = 2 * torch.pi, norm: str = 'ortho', fftshift_input: bool = False, include_end: bool = False) torch.Tensor[source]#
Custom 2D inverse FFT that allows to zoom on the region of interest in the Fourier plane.
The output image is square.
Parameters#
- xtorch.Tensor
Input square image.
- shape_outsequence of ints, optional
Shape of the output image. If None, same as the shape of the input.
- k_startfloat
Start point of sampling on the complex circle. Default is 0.0.
- k_endfloat
End point of sampling on the complex circle. Default is \(2\pi\).
- norm{“ortho”, “forward”, “backward”}, optional
Normalization mode. Default is “ortho”.
- fftshift_inputbool, optional
Whether to apply fftshift on the input image. Default is “False”.
- include_endbool, optional
Whether to include the end point of sampling. Default is “False”.
Returns#
- outputtorch.Tensor
Custom 2D inverse FFT of the input image.