[Vision AI] Overcoming Blurry Blackbox Artifacts: Deep Super-Resolution (EDSR vs FSRCNN) & Multi-Frame Image Stacking (#4)
· 2 min read
📌 Key Takeaways (TL;DR)
- Problem: Cropped license plates from dashcam footage often measure under 40x20 pixels with heavy H.264 macroblocking; standard bicubic interpolation fails to resolve character contours.
- Solution: Integrated EDSR_x4 deep residual networks (EDSR_x4.pb) that omit batch normalization to preserve dynamic range, combined with temporal multi-frame image stacking across 3 to 5 consecutive frames.
- Result: Quadrupled plate pixel density and sharpened stroke edges, lifting downstream EasyOCR accuracy on Korean characters from 32% to over 91%.