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This tool allows you to encrypt and decrypt images using a keyword-based encryption method. The encryption adds random noise to the image and embeds text into the noise, while the decryption restores the image using the same keyword.


  • Encrypt images with a password/keyword.
  • Embed custom text into the encrypted image.
  • Decrypt encrypted images using the same keyword.


  • Python 3.x
  • OpenCV (cv2)
  • NumPy
  • Cryptography library (cryptography)


  1. Clone or download the repository.

  2. Install the required dependencies:

    pip install opencv-python numpy cryptography
  3. Make sure you have an image file (e.g., .png, .jpg) to encrypt.



  1. Open a terminal and navigate to the folder containing the imgCrypt.py file.
  2. Run the script:
    python imgCrypt.py


  • Encrypt Image:

    • Provide the path of the image to encrypt.
    • Enter a password/keyword to encrypt the image.
    • The tool will generate an encrypted image file and a noise image with embedded text.
  • Decrypt Image:

    • Provide the path of the encrypted file (not the noise image).
    • Enter the same password/keyword used during encryption.
    • The tool will decrypt and save the original image.


Encrypting an Image

Enter input image path: /path/to/image.jpg
Enter encryption keyword: mysecretkey
Enter output file path (without extension): /path/to/encrypted_image
Enter text to embed in encrypted image: Any text you want

Decrypting an Image

Enter encrypted file path (without _noise.png): /path/to/encrypted_image
Enter decryption keyword: mysecretkey
Enter output image path: /path/to/decrypted_image.png


  • Always remember the keyword used for encryption; it's required for decryption.
  • The noise image (_noise.png) is generated for visual effect and contains embedded text.


This project is licensed under the YASL License - see the License file for details.

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This tool allows you to encrypt and decrypt images using a keyword-based encryption method. The encryption adds random noise to the image and embeds text into the noise, while the decryption restores the image using the same keyword.

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