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GUI tool for benchmarking steganography on audio/image/text; computes MSE, PSNR, SSIM, SNR, BER and exports TXT/PDF (PySide6).

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umitkrkmz/StegoTester

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StegoTester

A GUI-based tool for analyzing steganographic audio, image, and text content.

StegoTester is a desktop application for evaluating steganography outputs (audio, image, and text).
It can compute metrics such as MSE, PSNR, SSIM, BER, SNR, Jaccard, Levenshtein, and text similarity scores.

With this application, you can:

  • Load Original, Stego, and Extracted files
  • Compute multiple metrics for each supported type (audio / image / text)
  • View the results in an in‑app table
  • Export results as TXT or PDF reports

Installation & Run (Single Block)

# Python 3.10+ recommended

# Clone the repository
git clone https://github.com/umitkrkmz/StegoTester.git
cd StegoTester

# Create and activate a virtual environment
python -m venv .venv
# Windows
.venv\Scripts\activate
# Linux/macOS
source .venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Run the application
python main.py

License

This project is released under the MIT License. See LICENSE for details.

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GUI tool for benchmarking steganography on audio/image/text; computes MSE, PSNR, SSIM, SNR, BER and exports TXT/PDF (PySide6).

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