Editing Lucky imaging (section)

==Popularity of technique==
Both amateur and professional [[astronomer]]s have begun to use this technique. Modern [[webcam]]s and [[camcorder]]s have the ability to capture rapid short exposures with sufficient sensitivity for [[astrophotography]], and these devices are used with a telescope and the [[shift-and-add]] method from [[speckle imaging]] (also known as [[shift-and-add|image stacking]]) to achieve previously unattainable resolution. If some of the images are discarded, then this type of video astronomy is called '''lucky imaging'''.

Many methods exist for image selection, including the [[Strehl ratio|Strehl]]-selection method first suggested<ref>{{Cite journal|doi = 10.1051/0004-6361:20010118|title = Diffraction-limited 800 nm imaging with the 2.56 m Nordic Optical Telescope|year = 2001|last1 = Baldwin|first1 = J. E.|last2 = Tubbs|first2 = R. N.|last3 = Cox|first3 = G. C.|last4 = MacKay|first4 = C. D.|last5 = Wilson|first5 = R. W.|last6 = Andersen|first6 = M. I.|journal = Astronomy & Astrophysics|volume = 368|pages = L1–L4|arxiv = astro-ph/0101408|bibcode = 2001A&A...368L...1B|s2cid = 18152452}}</ref> by [[John E. Baldwin]] from the Cambridge group<ref>{{cite web |date=27 January 2020 |url=http://www.ast.cam.ac.uk/~optics/Lucky_Web_Site/ |title=Lucky Imaging |publisher=Institute of Astronomy, University of Cambridge |access-date=2021-02-11}}</ref> and the image contrast selection used in the Selective Image Reconstruction method of Ron Dantowitz.<ref>{{Cite journal|doi = 10.1086/301328|title = Ground-based High-Resolution Imaging of Mercury|year = 2000|last1 = Dantowitz|first1 = Ronald F.|last2 = Teare|first2 = Scott W.|last3 = Kozubal|first3 = Marek J.|journal = The Astronomical Journal|volume = 119|issue = 5|pages = 2455–2457|bibcode = 2000AJ....119.2455D|doi-access = free}}</ref>

The development and availability of [[charge-coupled device#Electron-multiplying CCD|electron-multiplying CCD]]s (EMCCD, also known as LLLCCD, L3CCD, or low-light-level CCD) has allowed the first high-quality lucky imaging of faint objects.

On October 27, 2014, [[Google]] introduced a similar technique called HDR+. HDR+ takes a burst of shots with short exposures, selectively aligning the sharpest shots and averaging them using [[computational photography]] techniques. Short exposures avoid blurry images or blowing out highlights, and averaging multiple shots reduces noise.<ref>{{Cite web|url=http://ai.googleblog.com/2014/10/hdr-low-light-and-high-dynamic-range.html|title=HDR+: Low Light and High Dynamic Range photography in the Google Camera App|website=Google AI Blog|language=en|access-date=2019-08-02}}</ref> HDR+ is processed on [[Hardware acceleration|hardware accelerators]] including the [[Qualcomm Hexagon|Qualcomm Hexagon DSPs]] and [[Pixel Visual Core]].<ref>{{Cite web|url=http://ai.googleblog.com/2018/02/introducing-hdr-burst-photography.html|title=Introducing the HDR+ Burst Photography Dataset|website=Google AI Blog|language=en|access-date=2019-08-02}}</ref>