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# utils.py
import cv2
import numpy as np
from PIL import Image, PngImagePlugin, ImageDraw
import json
from datetime import datetime
from cryptography.fernet import Fernet
import base64
import hashlib
class WatermarkProcessor:
def __init__(self, encryption_key=None):
"""Initialize with optional encryption key"""
if encryption_key:
self.fernet = Fernet(encryption_key)
else:
key = Fernet.generate_key()
self.fernet = Fernet(key)
def to_bin(self, data):
"""Convert data to binary format as string"""
if isinstance(data, str):
return ''.join(format(ord(char), '08b') for char in data)
elif isinstance(data, bytes):
return ''.join(format(x, '08b') for x 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 create_preview(self, image_path, watermark_text, opacity=0.3):
"""Create a preview of watermark on image"""
try:
image = Image.open(image_path)
txt_layer = Image.new('RGBA', image.size, (255, 255, 255, 0))
draw = ImageDraw.Draw(txt_layer)
# Calculate text position
text_width = draw.textlength(watermark_text)
text_x = (image.width - text_width) // 2
text_y = image.height // 2
# Add watermark text
draw.text((text_x, text_y), watermark_text,
fill=(255, 255, 255, int(255 * opacity)))
# Combine layers
preview = Image.alpha_composite(image.convert('RGBA'), txt_layer)
return preview
except Exception as e:
return None
def png_encode(self, im_name, extra):
"""Encode watermark using PNG metadata"""
try:
im = Image.open(im_name)
info = PngImagePlugin.PngInfo()
info.add_text("TXT", extra)
im.save("test.png", pnginfo=info)
return "test.png", "Watermark added successfully"
except Exception as e:
return im_name, f"Error adding watermark: {str(e)}"
def encode(self, image_path, watermark_text, metadata=None):
"""Encode watermark using simple LSB steganography"""
try:
image = cv2.imread(image_path)
if image is None:
raise ValueError("Could not read image file")
# Prepare watermark data
data = {
'text': watermark_text,
'timestamp': datetime.now().isoformat(),
'metadata': metadata or {}
}
# Convert to string and add delimiter
secret_data = json.dumps(data, ensure_ascii=False) + "###END###"
# Convert to binary string
binary_secret = ''.join(format(ord(char), '08b') for char in secret_data)
# Check capacity
if len(binary_secret) > image.shape[0] * image.shape[1] * 3:
return image_path, "Error: Image too small for watermark data"
# Embed data
data_index = 0
for i in range(image.shape[0]):
for j in range(image.shape[1]):
for k in range(3):
if data_index < len(binary_secret):
# Clear LSB and add data bit
image[i, j, k] = (image[i, j, k] & ~1) | int(binary_secret[data_index])
data_index += 1
else:
break
if data_index >= len(binary_secret):
break
if data_index >= len(binary_secret):
break
# Save result
output_path = f"watermarked_{datetime.now().strftime('%Y%m%d_%H%M%S')}.png"
cv2.imwrite(output_path, image)
return output_path, "Watermark added successfully"
except Exception as e:
return image_path, f"Error in encoding: {str(e)}"
def decode(self, image_path):
"""Decode watermark using simple LSB steganography"""
try:
image = cv2.imread(image_path)
if image is None:
raise ValueError("Could not read image file")
# Extract binary string
binary_data = ''
for i in range(image.shape[0]):
for j in range(image.shape[1]):
for k in range(3):
binary_data += str(image[i, j, k] & 1)
# Convert binary to string
decoded_chars = []
for i in range(0, len(binary_data), 8):
byte = binary_data[i:i+8]
if len(byte) == 8:
decoded_chars.append(chr(int(byte, 2)))
# Check for delimiter
if ''.join(decoded_chars[-7:]) == "###END###":
decoded_text = ''.join(decoded_chars[:-7])
try:
# Parse JSON data
watermark_data = json.loads(decoded_text)
return json.dumps(watermark_data, ensure_ascii=False, indent=2)
except json.JSONDecodeError:
return decoded_text
return "Error: No valid watermark found"
except Exception as e:
return f"Error in decoding: {str(e)}"
def analyze_quality(self, original_path, watermarked_path):
"""Analyze watermark quality"""
try:
original = cv2.imread(original_path)
watermarked = cv2.imread(watermarked_path)
if original is None or watermarked is None:
raise ValueError("Could not read image files")
# Calculate PSNR
mse = np.mean((original - watermarked) ** 2)
if mse == 0:
psnr = float('inf')
else:
psnr = 20 * np.log10(255.0 / np.sqrt(mse))
# Calculate histogram similarity
hist_original = cv2.calcHist([original], [0], None, [256], [0, 256])
hist_watermarked = cv2.calcHist([watermarked], [0], None, [256], [0, 256])
hist_correlation = cv2.compareHist(hist_original, hist_watermarked, cv2.HISTCMP_CORREL)
# Count modified pixels
diff = cv2.bitwise_xor(original, watermarked)
modified_pixels = np.count_nonzero(diff)
report = {
'psnr': round(psnr, 2),
'histogram_similarity': round(hist_correlation, 4),
'modified_pixels': modified_pixels,
'image_size': original.shape,
'quality_score': round((psnr / 50) * 100, 2) if psnr != float('inf') else 100
}
return json.dumps(report, indent=2)
except Exception as e:
return f"Error in quality analysis: {str(e)}" |