Digital Heritage Reconstruction Using Super-resolution and Inpainting

How can damaged monuments be presented with greater visual detail without further disturbing the originals? Digital Heritage Reconstruction Using Super-resolution and Inpainting explores image-processing approaches to that challenge, focusing on methods for enlarging images and repairing missing or damaged regions in heritage imagery.

Milind G. Padalkar, Manjunath V. Joshi, and Nilay L. Khatri connect these techniques to the visual documentation of cultural heritage and to images that may support immersive virtual walkthroughs. The emphasis is technical: how to reconstruct detail, identify damage, and make repairs computationally.

Reconstructing detail in heritage images

The book introduces image super-resolution methods alongside approaches for inpainting, the process of filling selected or missing regions in an image. It also considers how the two tasks can be performed together—a useful focus when an image needs both greater resolution and restoration of damaged areas.

From selected regions to automatic repair

The discussion moves beyond user-supplied repair areas to methods for automatically detecting and addressing damage. Topics include damaged facial regions in statue images and crack repair in images of heritage scenes. This progression gives readers a view of several related reconstruction problems rather than treating restoration as a single operation.

For readers working with imaging and heritage

This specialist title is relevant to researchers, advanced students, and practitioners interested in computer vision, image processing, digital imaging, or computational approaches to cultural heritage. Its particular value lies in bringing image-enhancement methods to the concrete challenges of representing damaged monuments and historic scenes.