Enhancing Image Deblurring with Advanced Learning
Mrs. Md. Jareena Begum · International Journal for Research in Applied Science and Engineering Technology · 2025
Abstract: This study presents a novel framework for adaptive photo restoration by integrating GFPGAN for face-focused enhancement and Real-ESRGAN for general image refinement. Users select modes tailored to image content. The model features blur-aware preprocessing, intelligent background boosting, and output evaluation through SSIM. The application is deployed using a user-friendly Gradio interface and shows consistent performance across varied visuals.