ImageFlattenerOut

class giant.image_processing.image_flattener.ImageFlattenerOut(flattened, estimated_noise_level, local_slices)

Create new instance of ImageFlattenerOut(flattened, estimated_noise_level, local_slices)

Parameters:

• flattened (ndarray[tuple[Any, ...], dtype[float32]])

• estimated_noise_level (float | list[float])

• local_slices (list[tuple[slice, slice]] | None)

flattened: ndarray[tuple[Any, ...], dtype[float32]]

The flattened image.

The same shape as the input and with a float32 datatype.

estimated_noise_level: float | list[float]

The estimated noise level in the image as a float (if GLOBAL flattening is used) or as a list of floats (if local flatttening is used).

If local flattening is used, each element of this list corresponds to the same element in the slice array

local_slices: list[tuple[slice, slice]] | None

The slices used for local flattening and noise approximation, or None if GLOBAL flattening is used