>>> import numpy as np
>>> import albumentations as A
>>> # Prepare sample data
>>> image = np.random.randint(0, 256, (100, 100, 3), dtype=np.uint8)
>>>
>>> # Black and white dithering with Floyd-Steinberg
>>> transform = A.Compose([
...     A.Dithering(
...         method="error_diffusion",
...         n_colors=2,
...         error_diffusion_algorithm="floyd_steinberg",
...         color_mode="grayscale",
...         p=1.0
...     )
... ])
>>> transformed = transform(image=image)
>>> dithered_image = transformed['image']  # Black and white dithered image
>>>
>>> # Ordered dithering with 16 colors per channel
>>> transform = A.Compose([
...     A.Dithering(
...         method="ordered",
...         n_colors=16,
...         bayer_matrix_size=8,
...         color_mode="per_channel",
...         p=1.0
...     )
... ])
>>> transformed = transform(image=image)
>>> dithered_image = transformed['image']  # Reduced color depth with Bayer pattern
>>>
>>> # Random dithering
>>> transform = A.Compose([
...     A.Dithering(
...         method="random",
...         n_colors=4,
...         noise_range=(-0.3, 0.3),
...         p=1.0
...     )
... ])
>>> transformed = transform(image=image)
>>> dithered_image = transformed['image']  # Noisy dithered appearance
Parameters
