feat(red-eye-removal): SOTA red eye removal with MediaPipe Face Mesh + OpenCV LAB correction (#60)

Uses MediaPipe Face Mesh (refine_landmarks=True) for precise iris localization
and OpenCV LAB color space for accurate red-eye detection and luminance-preserving
correction. Zero new dependencies - leverages existing MediaPipe + OpenCV stack.

- Sensitivity slider (LAB 'a' channel threshold)
- Correction strength slider (pupil darkening factor)
- Output format selector (Original/PNG/JPEG/WebP)
- Before/after preview, progress stages, batch processing
- Pipeline support via Controls/Settings split

Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>

packages/shared/src/i18n/en.ts

@@ -84,6 +84,10 @@ export const en = {
       name: "Noise Removal",
       description: "AI-powered noise and grain removal",
     },
+    "red-eye-removal": {
+      name: "Red Eye Removal",
+      description: "AI-powered red eye detection and correction for flash photos",
+    },
     "content-aware-resize": {
       name: "Content-Aware Resize",
       description: "Intelligently resize images while preserving important content",