Gigapixel images are extremely large panoramic images stitched from many digital images with billions of pixels containing fascinating detail. Zoom in (using your mouse or touch screen) to discover all the hidden details of the image.
Gigapan gives experienced, and novice photographers the technology to create high-resolution panorama images more easily than ever before, and the resulting GigaPan images offer viewers a new, unique perspective on the world.
Isawiya, East Jerusalem. 2013
Ramon Crater. 2013
Kibbutz Malkiya. November 2020
Be’er Ora. March 2013
Be’er Ora. March 2013
How gigapixel imaging relates to my work
A gigapixel image is stitched from hundreds or thousands of overlapping photographs taken with a robotic head, producing a single panorama that holds both the whole view and the smallest detail. In my work this matters because heritage is rarely only a monument: it is a landscape, a neighbourhood, a wall covered in centuries of marks. Gigapixel capture records the context of a site and its minute traces in the same image, and lets viewers move freely between the two scales, which is how researchers and visitors actually look.
I use the technique in landscape and urban documentation, as in the panoramas on this page. I have also tested it for recording historic graffiti: at the Apostolos Andreas Monastery in Cyprus, a gigapixel panorama tested in October 2025 could not handle the image volume of the full February 2026 campaign, and we moved to wall-surface photogrammetry instead. Knowing where each technique reaches its limit is part of the method. The approach belongs to a wider move in heritage institutions toward extreme-resolution imaging, best known through the Rijksmuseum’s 717-gigapixel image of Rembrandt’s Night Watch, made to support conservation research.
Further reading
- Rijksmuseum publishes 717 gigapixel photograph of The Night Watch, Rijksmuseum, 2022
- Historic graffiti as a visual medium for the sustainable development of the underground built heritage, Trentin, Altaratz, Caine, Re’em et al., Sustainability, 2023
- Photogrammetry models, on this site