Procedural texture synthesis it is called

Procedural texture synthesis by A.G. (c) 2017. All Rights Reserved.

	import time
	import random
	from PIL import Image
	def noisefield():
	im = Image.new("L", (256, 256))
	for x in range(256):
	for y in range(256):
	im.putpixel((x, y), nixel.next())
	im.save(FILEPATH+time.strftime('%Y%m%d%H%M%S')+".png")
	im.show()
	l1 = [0,0,0,0,0,0,0,0,0,0] # (L for List)
	l2 = [255,255,255,255,255,255,255,255,255,255]
	l3 = []
	# I am randomly choosing lists of 10 items I created to generate my one-dimensional
	# vector/array of 65536 items, to make a 256 pixel by 256 pixel image
	# with random stretches of all-white OR all-black pixels.
	for i in range(6554):
	l3.extend(random.choice([l1,l2]))
	# len(l3) = 65540, therefore I must crop it.
	l3 = l3[0:65536]
	nixel = iter(l3)

view raw noisebits.py hosted with ❤ by GitHub

...