JSW 2013 Vol.8(12): 3042-3047 ISSN: 1796-217X
doi: 10.4304/jsw.8.12.3042-3047
doi: 10.4304/jsw.8.12.3042-3047
A New Algorithm of Fully-automatic Red-eye Removal
Yueli Cui, Caiming Chen, Shiqing Zhang, Zhigang Chen
College of Physics & Electronic Engineering Taizhou University
Taizhou, China
Abstract—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.
Index Terms—Red-eye removal, AdaBoost, Face detection, Red-eye location.
Abstract—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.
Index Terms—Red-eye removal, AdaBoost, Face detection, Red-eye location.
Cite: Yueli Cui, Caiming Chen, Shiqing Zhang, Zhigang Chen, "A New Algorithm of Fully-automatic Red-eye Removal," Journal of Software vol. 8, no. 12, pp. 3042-3047, 2013.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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