navigate.model.analysis.camera.compute_signal_to_noise

navigate.model.analysis.camera.compute_signal_to_noise(image: ndarray[Any, dtype[float32]], offset_map: ndarray[Any, dtype[ScalarType]], variance_map: ndarray[Any, dtype[ScalarType]]) → ndarray[Any, dtype[float32]]

Compute the signal-to-noise ratio of a 2D image or 3D image stack (ZYX) from offset and variance maps.

Parameters:

• image (npt.NDArray[np.float32]) – 2D or 3D image of camera frames.

• offset_map (npt.NDArray) – XY image of camera offset in the absence of signal.

• variance_map (npt.NDArray) – XY image of camera variance in the absence of signal.

Returns:

snr – 2D or 3D signal-to-noise ratio corrected image.

Return type:

npt.NDArray[np.float32]