SpeckleNoisePerturber

class nrtk.impls.perturb_image.generic.skimage.random_noise.SpeckleNoisePerturber(rng: np.random.Generator | int | None = None, mean: float = 0.0, var: float = 0.05, box_alignment_mode: str = 'extent')

Adds multiplicative noise to image stimulus. Noise is Gaussian-based.

Methods

`from_config`	Instantiate a new instance of this class given the configuration JSON-compliant dictionary encapsulating initialization arguments.
`get_config`	Returns the current configuration of the _GSNoisePerturber instance.
`get_default_config`	Generate and return a default configuration dictionary for this class.
`get_impls`	Discover and return a set of classes that implement the calling class.
`get_type_string`	Returns the fully qualified type string of the PerturbImage class or its subclass.
`is_usable`	Checks if the required skimage module is available.
`perturb`	Return image stimulus with multiplicative noise.

perturb(image: np.ndarray, boxes: Iterable[tuple[AxisAlignedBoundingBox, dict[Hashable, float]]] | None = None, additional_params: dict[str, Any] | None = None) → tuple[np.ndarray, Iterable[tuple[AxisAlignedBoundingBox, dict[Hashable, float]]] | None]: Return image stimulus with multiplicative noise.