We present an inpainting framework for commercial designs from damaged cultural heritage paintings. Heritage artworks suffer damage compromising design quality. Our approach preprocesses paintings using inpainting through cleaning, restoration, and pattern extraction. Analysis shows inpainting enhances visual quality while preserving authenticity. Restored designs demonstrate commercial viability, bridging preservation with innovation.

Jungmin Lee is currently pursuing AI imaging research at the Department of Advanced Imaging, GSAIM, Chung-Ang University. Research interests focus on exploring digital preservation and utilization strategies for cultural heritage through the integration of cultural heritage and AI technology.