Lifeframe AI an Artificial Intelligence Based System for Old Photo Enhancement |
Author(s): |
| Piyush Baheti , Dr. D. Y. Patil Polytechnic, Ambi, Pune, Maharashtra, India; Mohit Patil, Dr DY Patil Polytechnic Ambi Pune Maharashtra India; Pratik Bhagat, Dr DY Patil Polytechnic Ambi Pune Maharashtra India; Vedant Waghmare, Dr DY Patil Polytechnic Ambi Pune Maharashtra India; Prof.Akshay Bhabad, Dr DY Patil Polytechnic Ambi Pune Maharashtra India |
Keywords: |
| Artificial Intelligence, Image Enhancement, Photo Restoration, Deep Learning, Image Processing |
Abstract |
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Old photographs often degrade over time due to fading, scratches, blur, noise, and low resolution. Preserving such photographs is important because they represent valuable memories and historical records. However, traditional photo restoration methods require manual editing and professional skills, which can be time-consuming and difficult for general users. This paper presents LifeFrame AI, an artificial intelligence-based system designed to enhance and restore old photographs using modern image processing techniques. The proposed system allows users to upload degraded images through a web interface where AI-based algorithms analyze image features and apply enhancement operations such as noise reduction, sharpening, and contrast improvement. The system uses artificial intelligence and deep learning-based techniques to reconstruct missing details and improve overall image clarity. After processing, the system generates an enhanced version of the photograph that is clearer and visually improved compared to the original image. Experimental results demonstrate that the LifeFrame AI system significantly improves the quality of degraded photographs by increasing sharpness, reducing noise, and enhancing visual details. The proposed system provides a simple and efficient solution for automatic photo restoration and helps preserve valuable memories using artificial intelligence technology. |
Other Details |
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Paper ID: IJSRDV14I10035 Published in: Volume : 14, Issue : 1 Publication Date: 01/04/2026 Page(s): 31-33 |
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