Enhancing Image Deblurring with Advanced Learning

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.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-27
DOI
https://doi.org/10.22214/ijraset.2025.69533
Primary Topic
Advanced Image Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Image Deblurring with Advanced Learning

Mrs. Md. Jareena Begum
International Journal for Research in Applied Science and Engineering Technology
Advanced Image Processing Techniques
article

Enhancing Image Deblurring with Advanced Learning

Mrs. Md. Jareena Begum
article en

Abstract

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.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Openalex Percentile: Top 93%
Advanced Image Processing Techniques
DOIOpen Access PDFOpenAlex
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Enhancing Image Deblurring with Advanced Learning — Mrs. Md. Jareena Begum · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS