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Image Encryption

Overview

The Image Encryption project is designed to provide a simple yet effective method for encrypting and decrypting image files using pixel manipulation. This tool uses a straightforward XOR-based algorithm to ensure image data remains confidential and protected from unauthorized access. The project handles PNG format images to avoid issues related to lossy compression found in JPEGs.

Features

  • Simple Encryption and Decryption: Uses an XOR-based algorithm to encrypt and decrypt image data.
  • PNG Format Support: Uses PNG format to avoid compression artifacts and preserve image quality.
  • Pixel Manipulation: Provides debugging information to verify pixel values during encryption and decryption.

Installation

To get started with the project, follow these steps:

  1. Clone the Repository:

    git clone https://github.com/your-username/image-encryption.git

  2. Navigate to the Project Directory:

    cd image-encryption

  3. Install Dependencies: Ensure you have Python installed. Install the necessary packages using:

    pip install Pillow numpy

Usage

  1. Run the Script:

    python Image_Encryption.py

  2. Follow the Prompts:

    • Encryption:

      • Enter the path of the image you want to encrypt (preferably in PNG format).
      • Enter a key for encryption.
      • Specify the output path for the encrypted image (e.g., encrypted_image.png).

    • Decryption:

      • Enter the path of the encrypted image (e.g., encrypted_image.png).
      • Enter the key for decryption.
      • Specify the output path for the decrypted image (e.g., decrypted_image.png).
      • Optionally, provide the path to the original image to compare the decrypted image with the original.

Technical Challenges and Solutions

Pixel Range and Comparison Issue

Issue: Initial implementations had trouble with pixel range and comparison, leading to inaccuracies in the encryption and decryption process.

Solution:

  • Adjusted the pixel comparison logic to handle a broader range of pixel values.
  • Implemented a more precise algorithm to ensure accurate encryption and decryption.

JPG Format Limitation

Issue: JPG format caused issues due to its lossy compression, affecting pixel accuracy.

Solution:

  • Switched to PNG format to preserve image quality and avoid compression artifacts.
  • Updated the code to handle PNG files effectively.