Poisson

class deeptrack.noises.Poisson(*args, snr: float | Callable[[...], float] = 100, background: float | Callable[[...], float] = 0, max_val=100000000.0, **kwargs)

Bases: Noise

Adds Poisson-distributed noise to an image

Parameters

snrfloat

Signal to noise ratio of the final image. The signal is determined by the peak value of the image.

backgroundfloat

Value to be be used as the background. This is used to calculate the signal of the image.

Methods Summary

get(image, snr, background, max_val, **kwargs)

Transform an image [abstract method].

Methods Documentation

get(image, snr, background, max_val, **kwargs)

Transform an image [abstract method].

Abstract method that defines how the feature transforms the input. The current value of all properties will be passed as keyword arguments.

Parameters

image‘Image’ or List[‘Image’]

The Image or list of images to transform.

**kwargsDict[str, Any]

The current value of all properties in properties as well as any global arguments.

Returns

‘Image’ or List[‘Image’]

The transformed image or list of images.

Raises

NotImplementedError

Must be overridden by subclasses.