Digital Reconstruction of Historical Artworks Using Artificial Intelligence

The advent of artificial intelligence (AI) has revolutionized various domains, including the restoration and digital reconstruction of historical artworks. This paper explores how AI technologies—specifically deep learning, image processing, and neural networks—are employed to digitally reconstruct and restore damaged or incomplete historical artworks. By enhancing images, filling in missing sections, and generating data-driven reconstructions, AI offers new possibilities for art preservation and accessibility. Challenges, limitations, and ethical considerations in using AI for artistic restoration are also addressed. The study concludes with an outlook on the future of AI-driven art reconstruction, emphasizing its significance for cultural heritage preservation.