resample_hermitian

resample_hermitian#

scarlet2.interpolation.resample_hermitian(signal, warp, x_min, y_min, interpolant=Quintic(extent=3))[source]#

Resample a 2-dimensional image using an interpolation kernel

This is assuming that the signal is Hermitian and starting at 0 on axis=2, i.e. f(-x, -y) = conjugate(f(x, y))

Parameters:

  • signal (array) – 2d array containing the signal. We assume here that the coordinates of the signal shape: [Nx, Ny]

  • warp (array) – Coordinates on which to resample the signal, in the grid of signal coordinates [[0 … signal.shape[0]], [0 … signal.shape[1]] shape:[nx, ny, 2] [ [[0, 0], [0, 1], …, [0, N-1]], [ … ], [[N-1,0], [N-1,1], …, [N-1,N ]] ]

  • x_min (float) – Left coordinate of corner of bounding box that defines the location of signal

  • y_min (float) – Low coordinate of corner of bounding box that defines the location of signal

  • interpolant (Interpolant) – Instance of interpolant

Returns:

Resampled signal at the location indicated by warp

Return type:

array

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