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apply_MBTC.py
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43 lines (33 loc) · 1.79 KB
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import os
from MBTC import encode_MBTC,reconstruct_MBTC,load_image,save_image,save_encoded_data,load_encoded_data
def apply_mbtc_to_folder(input_folder, output_folder, block_size=4):
# Create output folder if it doesn't exist
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# List all files in the input folder
image_files = [f for f in os.listdir(input_folder) if f.endswith(('.jpg', '.jpeg', '.png','.bmp'))]
for image_file in image_files:
# Construct full path for input and output images
input_path = os.path.join(input_folder, image_file)
output_path = os.path.join(output_folder, f'compressed_{image_file}')
# Load the image
img = load_image(input_path)
if img is not None:
# Encode BTC
encoded_data = encode_MBTC(img, block_size)
# Save encoded data
uls_output_path = f"{output_path}_uls.txt"
uhs_output_path = f"{output_path}_uhs.txt"
blocks_output_path = f"{output_path}_blocks.txt"
save_encoded_data(encoded_data, uhs_output_path, uls_output_path, blocks_output_path)
# Load encoded data
loaded_data = load_encoded_data(uhs_output_path, uls_output_path, blocks_output_path, block_size)
loaded_data['img_shape'] = img.shape
# Reconstruct image
reconstructed_image = reconstruct_MBTC(loaded_data)
# Save reconstructed image
save_image(reconstructed_image, f"{output_path}_reconstructed.bmp")
if __name__ == "__main__":
input_folder = "D:/git/Block_Truncation_Coding/img"
output_folder = "D:/git/Block_Truncation_Coding/compressed_images"
apply_mbtc_to_folder(input_folder, output_folder, block_size=4)