Colors

from PIL import Image, ImageFilter
from numpy import array

# image import
image = Image.open('picture.jpg')

#################################
# Analysing picture information #
#################################

# numpy section
# print(array(image))
# print(array(image.getchannel('R')))

# colors only
# print(image.getpixel((0,0)))
# print(image.getcolors(maxcolors = image.size[0] * image.size[1])) # maxcolors argument = 256 -> if image has more colors it returns none

# getting picture information
# print(image.mode)
# print(image.getbands())
# print(image.info)

# channels
# red_channel = image.getchannel('R')
# red_channel.show()

#####################
# Color conversions #
#####################

# 1 bit grayscale image
# image_grayscale_1bit = image.convert('1')
# print(array(image_grayscale_1bit, dtype = int))
# print(image_grayscale_1bit.getbands())
# image_grayscale_1bit.show()

# 8 bit grayscale
# grayscale_l = image.convert('L')
# print(array(grayscale_l))
# print(grayscale_l.getbands())
# grayscale_l.show()

# Palette
# palette = image.convert('P') # 256 colors only
# print(array(palette)) # not colors! references to a color in a palette
# print(palette.getpalette())
# print(array(palette.getpalette()).reshape(256,3))

# palette_16 = image.convert('P',palette = Image.Palette.ADAPTIVE, colors = 16)

# update the color palette
# new_palette = [x // 2 for x in palette_16.getpalette()]
# palette_16.putpalette(new_palette)
# palette_16.show()

############################
# change individual pixels #
############################

# image.putpixel((100,200),(255,0,0))
for x in range(image.size[0]):
    for y in range(image.size[1]):
        if image.getpixel((x,y))[0] > 200:
            image.putpixel((x,y),(0,0,0))
image.show()