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Gigapixel image

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A gigapixel image is a digital image bitmap composed of one billion (109) pixels (picture elements), 1000 times the information captured by a 1 megapixel digital camera. A square image of 32,768 (215) pixels in width and height is one gigapixel. Current technology for creating such very high-resolution images usually involves either making mosaics of a large number of high-resolution digital photographs or using a film negative as large as 12" × 9" (30 cm × 23 cm) up to 18" × 9" (46 cm × 23 cm), which is then scanned with a high-end large-format film scanner with at least 3000 dpi resolution. Only a few cameras are capable of creating a gigapixel image in a single sweep of a scene, such as the Pan-STARRS PS1 and the Gigapxl Camera.[1][2]

A gigamacro image is a gigapixel image which is a close-up or macro image.



A terapixel image is an image composed of one trillion (1012) pixels. Though currently rare, there have been a few instances such as the Microsoft Research Terapixel project for use on the Fulldome projection system,[3] a composite of medical images by Aperio,[4][5] and Google Earth's Landsat images viewable as a time-lapse are collectively considered over one terapixel.[6]

In 2015 the 'Terabite' the world's first terapixel macro image was released by GIGAmacro[7].

See alsoEdit


  1. ^ "No. 24 - 2007: PS1 Camera Installed". Retrieved 2013-02-25.
  2. ^ "Archived copy". Archived from the original on 2006-04-14. Retrieved 2010-11-12.CS1 maint: Archived copy as title (link)
  3. ^ "Terapixel". Retrieved 2016-09-28.
  4. ^ "Archived copy". Archived from the original on 2014-02-28. Retrieved 2014-01-07.CS1 maint: Archived copy as title (link)
  5. ^ "Aperio Implements BigTIFF, Donates Enhancements to Public Domain". Business Wire. 2007-05-03. Retrieved 2016-09-28.
  6. ^ Sean Gallagher (2013-06-10). "How Google built a 52-terapixel time-lapse portrait of Earth". Ars Technica. Retrieved 2016-09-28.
  7. ^ "World's First Terapixel Macro Image". GIGAmacro. Retrieved 2018-02-20.

External linksEdit