Enhance low-resolution images with AI-powered Super-Resolution Convolutional Neural Network (SRCNN). This repository features a step-by-step implementation, image processing with OpenCV, and evaluation using PSNR, MSE, and SSIM. Perfect for exploring image restoration and super-resolution techniques!
active 2024-11-17 → 2025-01-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 52 days from 2024-11-17 to 2025-01-07. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| THAMIZH-ARASU | 2 | 2 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.