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from PIL import Image
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def extract_lsb(image_path):
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    # Open the image file
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    img = Image.open(image_path)
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    binary_data = ""
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    # Get image size
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    width, height = img.size
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    # Loop through each pixel
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    for y in range(height):
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        for x in range(width):
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            # Get the pixel value (RGB tuple)
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            pixel = img.getpixel((x, y))
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            # Extract the least significant bit from each RGB channel
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            for color in pixel[:3]:  # Assuming RGB image, ignore alpha if exists
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                binary_data += bin(color)[-1]  # Append the LSB of the color value
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    # Split the binary string into chunks of 8 bits (1 byte)
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    binary_chars = [binary_data[i:i+8] for i in range(0, len(binary_data), 8)]
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    # Convert binary strings to characters
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    message = ""
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    for byte in binary_chars:
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        char = chr(int(byte, 2))
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        # Stop if we reach a null character (assuming message ends with a null)
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        if char == "\x00":
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            break
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        message += char
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    return message
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# Use the function to extract the hidden message
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image_path = "path_to_your_image.png"
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hidden_message = extract_lsb(image_path)
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print("Extracted message:", hidden_message)

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import wave
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def extract_lsb_from_audio(audio_path):
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    # Open the audio file
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    audio = wave.open(audio_path, mode='rb')
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    # Read frames and convert to byte array
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    frame_bytes = bytearray(list(audio.readframes(audio.getnframes())))
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    # Extract the LSB from each byte
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    extracted_bits = ''.join([str(frame_bytes[i] & 1) for i in range(len(frame_bytes))])
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    # Split the binary string into chunks of 8 bits (1 byte)
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    binary_chars = [extracted_bits[i:i+8] for i in range(0, len(extracted_bits), 8)]
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    # Convert binary strings to characters
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    message = ""
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    for byte in binary_chars:
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        char = chr(int(byte, 2))
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        # Stop if we reach a null character (assuming message ends with a null)
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        if char == "\x00":
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            break
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        message += char
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    # Close the audio file
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    audio.close()
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    return message
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# Use the function to extract the hidden message
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audio_path = "path_to_your_audio.wav"
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hidden_message = extract_lsb_from_audio(audio_path)
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print("Extracted message:", hidden_message)