import dask.array as da
import dask_image.imread
from PIL import Image

# Load a collection of images using Dask
images = dask_image.imread.imread('image*.jpg')

# Resize the images in parallel
resized_images = da.stack([da.resize(image, (300, 300)) for image in images])

# Compute the result
result = resized_images.compute()

# Save the resized images
for i, image in enumerate(result):
    resized_image = Image.fromarray(image)
    resized_image.save(f'resized_image_{i}.jpg')