Editing Red-eye effect (section)

== Cure ==
[[Digital camera]]s with red-eye correction can eliminate the effect by using flash lighting that fires rapidly and repeatedly just before a photograph is taken, which causes the subject's pupils to contract.{{Sfn|Johnson|2009}}{{Sfn|Evans|2025}} Editing software can also eliminate the effect.{{Sfn|Evans|2025}}

Scholars have proposed a number of red-eye detection methods for digital red-eye correction. The red-eye detection algorithm developed by electronic engineers Seunghwan Yoo and Rae-Hong Park is composed of face detection, region-growing, and red-eye detection. Following the detection of the subject's face and eyes, the algorithm searches for red-eye regions, which are subsequently enlarged using the region-growing technique. They claim that pupil size calculation, pupil painting, and iris detection make up the red-eye correction that may then take place.{{Sfn|Yoo|Park|2009|p=1007, 1010}} Computer scientists Xiao-Ping Miao and Terence Sim have proposed their technique for detecting red-eye by fusing subjects' flash and non-flash photos.{{Sfn|Miao|Sim|2004|p=1195}} Scholars Tauseef Ali, Asif Khan, and Intaek Kim put forth an algorithm that, following facial recognition, [[grayscale]]s the image before applying red-eye correction.{{Sfn|Ali|Khan|Kim|2009|p=1}} On the contrary, researchers Richard Youmaran and Andy Adler presented a method for improving the quality of videos with the red-eye phenomenon. They have stated that their method consists of two frames, the first shot under standard illumination with  no [[infrared]] light and the second one using infrared light.{{Sfn|Youmaran|Adler|2006|p=1940}}