LanternLux

Revive antique magic lantern slides with AI-guided restoration intelligence

Image GenerationPaid

LanternLux employs deep neural inpainting trained on 19th-century albumen and hand-painted glass slide archives to reconstruct damaged emulsion layers and faded pigments. The platform generates layered restoration reports detailing crack propagation, oxidation zones, and chromatic loss percentages. Archivists can export restoration previews in both digital and print-ready formats compatible with museum cataloging systems.

Key Features

• ✓Neural inpainting for glass slide emulsions
• ✓Oxidation and crack detection mapping
• ✓Chromatic loss percentage reporting
• ✓Museum-standard metadata export
• ✓19th-century pigment palette reference library