Gigapixel image

{{short description|Digital image bitmap composed of one billion pixels}}

{{more citations needed|date=March 2016}}

File:František Kupka - Katedrála - Google Art Project.jpg's The Cathedral from the Google Art Project. The version shown here has been downsampled to 746.7 MP due to constraints in the JPEG format, but the image is available in original resolution as a tile set on the file description page.]]

File:Lucas Cranach (I) - Bildnis einer vornehmen sächsischen Dame (1534), Musée des Beaux-Arts de Lyon.jpg. [https://www.mba-lyon.fr/sites/mba/files/gigapixel/cranach/cranach.html Watch this picture in gigapixel in the MBALYON website].]]

File:Lambda20210907 003 ABCD.png (~2.15 gigapixels).]]

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 31,623 pixels in width and height is one gigapixel. Current technology for creating such very high-resolution images usually involves either making digital image mosaics of many high-resolution digital photographs or using a film negative as large as {{convert|12|x|9|in|cm|abbr=on}} up to {{convert|18|x|9|in|cm|abbr=on}}, 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.{{cite web |url=http://www2.ifa.hawaii.edu/newsletters/article.cfm?a=340&n=29 |title=No. 24 - 2007: PS1 Camera Installed |publisher=Ifa.hawaii.edu |access-date=2013-02-25 |archive-date=2012-12-27 |archive-url=https://web.archive.org/web/20121227170829/http://www2.ifa.hawaii.edu/newsletters/article.cfm?a=340&n=29 |url-status=dead }}{{cite web |url=http://www.gigapxl.org/project.htm |title=Project Overview |access-date=2010-11-12 |url-status=dead |archive-url=https://web.archive.org/web/20060414140451/http://www.gigapxl.org/project.htm |archive-date=2006-04-14 }}

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

==Terapixel==

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,{{cite web|url=http://research.microsoft.com/en-us/projects/terapixel |title=Terapixel |website=Research.microsoft.com |access-date=2016-09-28}} a composite of medical images by Aperio,{{cite web |url=http://images2.aperio.com/BigTIFF/BreastCancer225.tif/view.apml |title=Spectrum WebScope: BigTIFF/BreastCancer225.tif |access-date=2014-01-07 |url-status=dead |archive-url=https://web.archive.org/web/20140228060608/http://images2.aperio.com/BigTIFF/BreastCancer225.tif/view.apml |archive-date=2014-02-28 }}{{cite web|url=http://www.businesswire.com/news/home/20070503005113/en/Aperio-Implements-BigTIFF-Donates-Enhancements-Public-Domain#.Usucf5VfQmU |title=Aperio Implements BigTIFF, Donates Enhancements to Public Domain |publisher=Business Wire |date=2007-05-03 |access-date=2016-09-28}} and Google Earth's Landsat images viewable as a time-lapse are collectively considered over one terapixel.{{cite web|author=Sean Gallagher |url=https://arstechnica.com/information-technology/2013/06/how-google-built-a-108-terapixel-time-lapse-portrait-of-earth |title=How Google built a 52-terapixel time-lapse portrait of Earth |publisher=Ars Technica |date=2013-06-10 |access-date=2016-09-28}}

In 2015 the 'Terabite', the world's first terapixel macro image, was released by GIGAmacro.{{Cite news|url=http://www.gigamacro.com/worlds-first-terapixel-macro-image/|title=World's First Terapixel Macro Image|work=GIGAmacro|access-date=2018-02-20|language=en-US}}