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Automatic Redeye Correction in Digital Photos

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 95 - Number 9
Year of Publication: 2014
Authors:
Navid Razmjooy
S. Shahram Naghibzadeh
B. Somayeh Mousavi
10.5120/16621-6473

Navid Razmjooy, Shahram S Naghibzadeh and Somayeh B Mousavi. Article: Automatic Redeye Correction in Digital Photos. International Journal of Computer Applications 95(9):9-17, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Navid Razmjooy and S. Shahram Naghibzadeh and B. Somayeh Mousavi},
	title = {Article: Automatic Redeye Correction in Digital Photos},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {95},
	number = {9},
	pages = {9-17},
	month = {June},
	note = {Full text available}
}

Abstract

A methods to correct the artifact known as "red eye" is proposed by means of digital color image processing and classification procedure. First, skin like regions is detected with a pixel-based support vector machine processing; morphological operations are then used to eliminate the extra areas. In the second step 6 new features include geometric and color metrics are proposed to better classification of artifacts. Finally a support vector machine is used to classify the output of skin detected images by the use of presented features. 30 custom images are used to accuracy evaluation and results show the high performance of the proposed method toward some other methods.

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