Created
June 6, 2025 20:14
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from PIL import Image | |
import numpy as np | |
import os | |
def load_image_blocks(path, block_size=8): | |
image = Image.open(path).convert('RGB') | |
img_array = np.array(image) | |
h, w = img_array.shape[:2] | |
h_trim, w_trim = h - h % block_size, w - w % block_size | |
img_array = img_array[:h_trim, :w_trim] | |
blocks = [] | |
for y in range(0, h_trim, block_size): | |
for x in range(0, w_trim, block_size): | |
block = img_array[y:y+block_size, x:x+block_size] | |
blocks.append(block) | |
return blocks | |
def block_distance(b1, b2): | |
return np.mean(np.abs(b1.astype(int) - b2.astype(int))) | |
def rebuild_with_target(source_blocks, target_img_path, block_size=8, size=(256, 256)): | |
target_img = Image.open(target_img_path).resize(size).convert('RGB') | |
target_array = np.array(target_img) | |
h_blocks = size[1] | |
w_blocks = size[0] | |
result = [] | |
for y in range(h_blocks): | |
for x in range(w_blocks): | |
target_block = target_array[y*block_size:(y+1)*block_size, x*block_size:(x+1)*block_size] | |
best = min(source_blocks, key=lambda b: block_distance(b, target_block)) | |
result.append(best) | |
return result, size | |
def reconstruct_image(blocks, shape, block_size, output_path): | |
h, w = shape | |
output = np.zeros((h, w, 3), dtype=np.uint8) | |
idx = 0 | |
for y in range(0, h, block_size): | |
for x in range(0, w, block_size): | |
output[y:y+block_size, x:x+block_size] = blocks[idx] | |
idx += 1 | |
img = Image.fromarray(output) | |
img.save(output_path, format='JPEG', quality=95) | |
if __name__ == "__main__": | |
source_path = "original.jpg" | |
target_path = "target.jpg" | |
output_path = "reconstructed.jpg" | |
block_size = 8 | |
output_size = (256, 256) | |
if not os.path.exists(source_path): | |
print(f"❌ Missing: {source_path}") | |
elif not os.path.exists(target_path): | |
print(f"❌ Missing: {target_path}") | |
else: | |
source_blocks = load_image_blocks(source_path, block_size) | |
reconstructed_blocks, shape = rebuild_with_target(source_blocks, target_path, block_size, output_size) | |
reconstruct_image(reconstructed_blocks, shape, block_size, output_path) |
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