Image Enhancement Web Service
AI-powered image enhancement with super-resolution upscaling, low-light correction, and face restoration.
Overview
A comprehensive AI image enhancement service that combines super-resolution (16x/4x upscaling), low-light enhancement, color correction, and face restoration using state-of-the-art deep learning models.
Key Features
Super-Resolution Upscaling
16x and 4x upscaling using Real-ESRGAN, producing high-quality results from low-resolution inputs.
Face Restoration
GFPGAN-based face restoration that recovers facial details in old or damaged photographs.
Low-Light Enhancement
Automatic brightness and contrast correction for underexposed images.
Batch Processing
FastAPI backend supporting batch processing with Google Drive integration for handling large photo collections.
Tech Stack
- Backend: Python, FastAPI, PyTorch
- Models: Real-ESRGAN, GFPGAN
- Infrastructure: Docker, CUDA
Architecture
The service uses a pipeline architecture where images pass through multiple enhancement stages — denoising, super-resolution, face restoration, and color correction — with each stage handled by a specialized model.