Created
January 8, 2022 20:21
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import math | |
import numpy as np | |
from PIL import Image | |
img = Image.open("input_image.png") | |
image_np = np.array(img, dtype = np.float32) | |
dark_r = np.quantile(image_np[:,:,0:1], 0.1) | |
dark_g = np.quantile(image_np[:,:,1:2], 0.1) | |
dark_b = np.quantile(image_np[:,:,2:3], 0.1) | |
for j in range(512): | |
for i in range(512): | |
d = math.sqrt((j-256.0) * (j-256) + (i-256.0) * (i-256)) | |
alpha = 1.0 | |
if d > 180: | |
alpha = math.sin(d*math.pi/360) | |
new_pix = image_np[j,i,:] * alpha + np.array([dark_r, dark_g, dark_b]) * (1.0 - alpha) | |
image_np[j,i,:] = image_np[j,i,:]*0.25 + new_pix*0.75 | |
image_int = image_np.round().clip(0, 255).astype(np.uint8) | |
image_pil = Image.fromarray(image_int) | |
image_pil.save("output_image.png") |
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