Skip to content

README.md

Latest commit

 

History

History
8 lines (7 loc) · 665 Bytes

README.md

File metadata and controls

8 lines (7 loc) · 665 Bytes

Image Compression Analysis

This project provides a comprehensive comparison between different image compression algorithms (JPEG, WebP, and PNG) in terms of visual quality and file size.

How to Run

  1. Upload: Upload the my_project.py (or notebook) to Google Colab.
  2. Authentication: Add your Kaggle credentials (KAGGLE_USERNAME and KAGGLE_API_TOKEN) to the Colab "Secrets" tab (the key icon).
  3. Execution: Run all cells to download the dataset, perform compression, and generate performance graphs (PSNR/SSIM vs. bpp).
  4. Interactive UI: Use the integrated Gradio interface to test compression on your own uploaded images.