PlasmaShadow

Targets:

image

volume

Image Types:uint8, float32

Apply plasma-based shadow effect to the image using Diamond-Square algorithm.

Creates organic-looking shadows using plasma fractal noise pattern. The shadow intensity varies smoothly across the image, creating natural-looking darkening effects that can simulate shadows, shading, or lighting variations.

Arguments

shadow_intensity_range

tuple[float, float]

[0.3,0.7]

Range for shadow intensity. Values between 0 and 1:

0 means no shadow (original image)
1 means maximum darkening (black)
Values between create partial shadows Default: (0.3, 0.7)

roughness

float

Controls how quickly the noise amplitude increases at each iteration. Must be greater than 0:

Low values (< 1.0): Smoother, more gradual shadows
Medium values (~2.0): Natural-looking shadows
High values (> 3.0): Very rough, noisy shadows Default: 3.0

p

float

0.5

Probability of applying the transform. Default: 0.5.

Examples

>>> import albumentations as A
>>> import numpy as np

# Default parameters for natural shadows
>>> transform = A.PlasmaShadow(p=1.0)

# Subtle, smooth shadows
>>> transform = A.PlasmaShadow(
...     shadow_intensity_range=(0.1, 0.3),
...     roughness=0.7,
...     p=1.0
... )

# Dramatic, detailed shadows
>>> transform = A.PlasmaShadow(
...     shadow_intensity_range=(0.5, 0.9),
...     roughness=0.3,
...     p=1.0
... )

Notes

The transform darkens the image using a plasma pattern
Works with any number of channels (grayscale, RGB, multispectral)
Shadow pattern is generated using Diamond-Square algorithm with specific kernels
The same shadow pattern is applied to all channels
Final values are clipped to valid range [0, max_value]