An efficient red eye reduction technique

Vandrotti, Basavaraja Shanthappa; Veldandi, Muninder; Govindarao, Krishna A; Uliyar, Mithun; Mishra, Pranav

doi:10.1109/icce.2012.6161727

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Figure1 Typical Red Eye Effect1

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2013

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“…However most of existing automatic solutions have serious drawbacks and limitations. Some algorithms are face orientation dependent; several solutions are not only complexity high but also their performance is not satisfied [13][14]. Thus, it is necessary to develop a fully-automatic red-eye removal system with good detection quality, high corrected rate.…”

Section: Figure1 Typical Red Eye Effectmentioning

confidence: 99%

A New Algorithm of Fully-automatic Red-eye Removal

Cui¹,

Chen²,

Zhang³

et al. 2013

JSW

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the redeye effect is typically formed in consumer photos taken with a built-in camera flash. The paper presents a new algorithm of the automatic removal of redeye from digital photos. The proposed algorithm can remove red-eye automatically without manual intervention. First, Detecting faces by using the AdaBoost algorithm. Second, the red-eyes are located by using operations of segmentation, morphology and geometric constraint. Finally, correcting the located red-eyes completely. The experimental results are satisfied with high correction rates, relatively low computational complexity and robustness.

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Section: Figure1 Typical Red Eye Effectmentioning

confidence: 99%