🕵️‍♂️ Forensic Tool Kit

Detect and uncover image forgeries with this powerful Python forgery detection project! 📸🔍

Features

1. Double JPEG Compression Detection 📷🔄

   • Identify whether an image has undergone multiple JPEG compressions.

2. Metadata Analysis Detection 📅📷

   • Analyze and display Exif data to understand the image's metadata.

3. Noise Variance Inconsistency Detection 🎛️📊

   • Detect inconsistencies in noise variance to unveil potential forgeries.

4. Copy-Move Detection 🖼️🔍

   • Use advanced techniques, including SIFT detection, to locate and visualize copy-move forgeries.

How to Use

Prerequisites

• Python 3.x
• OpenCV (pip install opencv-python)
• PIL (pip install Pillow)

Usage

1. Clone the repository:

   git clone https://github.com/yourusername/forgery-detection.git

2. Navigate to the project directory:

   cd forgery-detection

3. Run the main script:

   python main.py <image_filename> [options]

   Options:

   • --imauto: Automatically search identical regions. (Default: 1)
   • --imblev: Blur level for degrading image details. (Default: 8)
   • --impalred: Image palette reduction factor. (Default: 15)
   • ... (other options)

4. Explore the results and enjoy uncovering image forgeries! 🔍🕶️

Contributing

Feel free to contribute by opening issues or submitting pull requests. Your feedback is highly appreciated!