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add_distortion.py
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add_distortion.py
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from PIL import Image, ImageFilter, ImageEnhance
import numpy as np
import random
import math
def add_salt_and_pepper(image, amount):
"""
from https://stackoverflow.com/questions/59991178/creating-pixel-noise-with-pil-python
"""
output = np.copy(np.array(image))
print(output.shape)
# add salt
nb_salt = np.ceil(amount * output.size * 0.5)
coords = [np.random.randint(0, i - 1, int(nb_salt)) for i in output.shape]
print(len(coords[0]))
output[coords] = [1]
# add pepper
nb_pepper = np.ceil(amount* output.size * 0.5)
coords = [np.random.randint(0, i - 1, int(nb_pepper)) for i in output.shape]
output[coords] = 0
return Image.fromarray(output)
def add_noise(im, value):
if value == 0:
return im
if value > 1.:
assert 0
number_of_noisy_pixels = im.size[0]*im.size[1] * value/3.
for i in np.arange(int(number_of_noisy_pixels)):
# from: https://onelinerhub.com/python-pillow/how-to-add-noise
im.putpixel(
(random.randint(0, im.size[0]-1), random.randint(0, im.size[1]-1)),
(0, 0, 0), # black
)
im.putpixel(
(random.randint(0, im.size[0]-1), random.randint(0, im.size[1]-1)),
(255, 255, 255), # white
)
# grey:
grey = int(random.random()*255)
im.putpixel(
(random.randint(0, im.size[0]-1), random.randint(0, im.size[1]-1)),
(grey, grey, grey) # white
)
return im
def add_distortion_to_fig(temperature_anom, time, input_file='', output_file = ''):
"""
Adds noise and sharp edges to an image.
time is in decimal years.
"""
#blend is high
level = int(temperature_anom)
if temperature_anom < 1.0:
# no distortion for low heatwaves.
return input_file
time = np.abs(time)
if time > 0.5:
# too long since last new level.
return input_file
# time_in_rad = time*180. # ie 0.5 years is 90 degrees
# blend = math.cos(math.radians(time_in_rad))
# np.clip(blend, 0., 1.)
time_in_rad = time * 2. * 90. # ie 0.5 years is 90 degrees
# longer: 1 year is 90:
# time_in_rad = time * 90.
# faster:
# time_in_rad = time * 3* 90.
time = np.clip(time, 0., 90.)
# cos, so when level is 3 and t=0, blend is 100%.
blend = np.clip(math.cos(math.radians(time_in_rad)), 0., 1.) # * level/3.
np.clip(blend, 0., 1.)
#if input_file == output_file:
# print('Adding distortion in place to ', input_file, 'blend:', blend )# 'noise_level:', noise_level)
im = Image.open(input_file)
#filter =
#im1 = im.filter(ImageFilter.EDGE_ENHANCE_MORE)
# enhance sharpness, contrast and brightness in line with level.
#im3 = ImageEnhance.Sharpness(i1)
#im3 = im3.enhance(10.)
im3 = ImageEnhance.Contrast(im)
im3 = im3.enhance(1. + temperature_anom/15.)
im3 = ImageEnhance.Brightness(im3)
im3 = im3.enhance(1. + temperature_anom/15.)
#im1 = add_noise(im1, noise_level)
im1 = Image.blend(im, im3, blend)
im1.save(output_file)
return output_file
def test_distortion(temperature_anom, time, input_file='', output_file = ''):
"""
Adds noise and sharp edges to an image.
time is in decimal years.
"""
#blend is high
level = int(temperature_anom)
if level < 1.0:
return # no distortion for low heatwaves.
if time > 0.5:
return # too long since last new level.
time_in_rad = time*180. # ie 0.5 years is 90 degrees
blend = math.cos(math.radians(time_in_rad)) * level/3.
#blend =
np.clip(blend, 0., 1.)
#noise_level = (temperature_anom -0.75) * 0.01/3.
im = Image.open(input_file)
for filter, fil_str in zip([
ImageFilter.EDGE_ENHANCE_MORE,
ImageFilter.SHARPEN,
#ImageFilter.FIND_EDGES,
#ImageFilter.EMBOSS,
],
['EDGE_ENHANCE_MORE',
'SHARPEN',
#'FIND_EDGES',
#'EMBOSS'
]):
#filter = ImageFilter.EDGE_ENHANCE_MORE
im1 = im.filter(filter)
im1 = Image.blend(im, im1, blend)
#im1 = add_noise(im1, noise_level)
output_file2 = output_file.replace('.png', '_'+fil_str+'.png')
im1.save(output_file2)
def test_enhance(input_fn):
im = Image.open(input_fn)
# im3 = ImageEnhance.Sharpness(im)
# im3 = im3.enhance(2.0)
# output_file2 = input_fn.replace('.png', '_sharpness_2.png')
# im3.save(output_file2)
# im3 = ImageEnhance.Brightness(im)
# im3= im3.enhance(2.0)
# output_file2 = input_fn.replace('.png', '_brightness_2.png')
# im3.save(output_file2)
# im3 = ImageEnhance.Contrast(im)
# im3 = im3.enhance(2.0)
# output_file2 = input_fn.replace('.png', '_Contrast_2.png')
# im3.save(output_file2)
im3 = ImageEnhance.Sharpness(im)
im3 = im3.enhance(5.0)
im3 = ImageEnhance.Contrast(im3)
im3 = im3.enhance(1.2)
im3 = ImageEnhance.Brightness(im3)
im3= im3.enhance(1.2)
output_file2 = input_fn.replace('.png', '_all3x.png')
im3.save(output_file2)
im3 = ImageEnhance.Sharpness(im)
im3 = im3.enhance(30.0)
#im3 = ImageEnhance.Contrast(im3)
#im3 = im3.enhance(1.2)
#im3 = ImageEnhance.Brightness(im3)
#im3= im3.enhance(0.8)
output_file2 = input_fn.replace('.png', '_all3x-0.8.png')
im3.save(output_file2)
if __name__ == "__main__":
input_file = test_fn = "/users/modellers/ledm/workspace/MarineHeatwaves/images/test_distortion_2/daily_2045-08-10.png"
test_enhance(input_file)
#return
#for time in [0., 0.4]: #np.arange(0., 0.7, 0.1):
# for level in [0,1,2,3]:
# output_file = test_fn.replace('.png', '_level'+str(level)+'_'+str(time)+'.png')
# test_distortion(level, time, input_file=input_file, output_file=output_file)
#
# test_distortion(1, time, input_file=input_file, output_file=output_file)
# test_distortion(2, time, input_file=input_file, output_file=output_file)
# test_distortion(3, time, input_file=input_file, output_file=output_file)