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import cv2 | |
import numpy as np | |
from PIL import Image, PngImagePlugin | |
import os | |
import uuid | |
def to_bin(data): | |
if isinstance(data, str): | |
return ''.join([format(ord(i), "08b") for i in data]) | |
elif isinstance(data, bytes): | |
return ''.join([format(i, "08b") for i in data]) | |
elif isinstance(data, np.ndarray): | |
return [format(i, "08b") for i in data] | |
elif isinstance(data, int) or isinstance(data, np.uint8): | |
return format(data, "08b") | |
else: | |
raise TypeError("Type not supported.") | |
def encode(image_path, secret_data): | |
try: | |
# Read the image | |
image = cv2.imread(image_path) | |
if image is None: | |
return None, "Failed to read image" | |
# Calculate maximum bytes for encoding | |
n_bytes = image.shape[0] * image.shape[1] * 3 // 8 | |
# Check if the secret data is too large | |
secret_data_with_delimiter = f'{secret_data}#####' | |
if len(secret_data_with_delimiter) + 5 >= n_bytes: | |
return None, "Watermark is too large for Image Size" | |
# Add ending delimiter | |
secret_data_with_delimiter += "=====" | |
# Convert data to binary | |
binary_secret_data = to_bin(secret_data_with_delimiter) | |
data_len = len(binary_secret_data) | |
data_index = 0 | |
# Encode the data into the image | |
for i in range(image.shape[0]): | |
for j in range(image.shape[1]): | |
pixel = image[i, j] | |
for color_channel in range(3): | |
if data_index < data_len: | |
# Get the binary value of the pixel | |
binary_value = to_bin(pixel[color_channel]) | |
# Replace the least significant bit | |
new_binary = binary_value[:-1] + binary_secret_data[data_index] | |
# Update the pixel with the new value | |
pixel[color_channel] = int(new_binary, 2) | |
data_index += 1 | |
image[i, j] = pixel | |
if data_index >= data_len: | |
break | |
if data_index >= data_len: | |
break | |
return image, None | |
except Exception as e: | |
return None, f"Error during encoding: {str(e)}" | |
def decode(image_path): | |
try: | |
# Read the image | |
image = cv2.imread(image_path) | |
if image is None: | |
return "Failed to read image" | |
binary_data = "" | |
for row in image: | |
for pixel in row: | |
for color_channel in pixel: | |
binary_data += to_bin(color_channel)[-1] | |
# Convert binary to text | |
all_bytes = [binary_data[i: i + 8] for i in range(0, len(binary_data), 8)] | |
decoded_data = "" | |
for byte in all_bytes: | |
decoded_data += chr(int(byte, 2)) | |
if decoded_data[-5:] == "=====": | |
break | |
# Remove delimiters | |
return decoded_data[:-5].split("#####")[0] | |
except Exception as e: | |
return f"Error during decoding: {str(e)}" | |
def png_encode(im_name, extra): | |
try: | |
im = Image.open(im_name) | |
info = PngImagePlugin.PngInfo() | |
info.add_text("TXT", extra) | |
unique_id = str(uuid.uuid4())[:8] | |
filename, ext = os.path.splitext(im_name) | |
new_filename = f"{filename}_{unique_id}{ext}" | |
im.save(new_filename, "PNG", pnginfo=info) | |
width, height = im.size | |
rect_width, rect_height = 200, 50 | |
x = width - rect_width - 10 | |
y = height - rect_height - 10 | |
global png_encode_coords | |
png_encode_coords = (x, y, rect_width, rect_height) | |
return new_filename, None | |
except Exception as e: | |
return None, str(e) | |