A method of red-eye effect recognition in digital photography
Keywords:
распознавание образов, цифровые фотографии, эффект красного глаза, конечнопараметрическая модельAbstract
The paper is devoted to the red-eye effect recognition on digital photos made with flash. RGB digital photos were used as input data. The recognition algorithm consists of three steps: preliminary, finite parametric filtration, and context filtration. After that the recognition correction is performed. The algorithm was tested on a wide range of different-quality photos. The best recognition was achieved on the photos with large areas of pupils.
References
- Schildkraut J.S., Gray R.T. A fully automatic red-eye detection and correction algorithm // The 9th International Conference on Image Processing. September 23,-,26. T. I. Rochester, 2002. 801-803.
- Верлань А.Ф., Сизиков В.С. Интегральные уравнения: методы, алгоритмы, программы. Киев: Наукова Думка, 1986.
- Gaubatz M., Ulichney R. Automatic red-eye detection and correction // The 9th International Conference on Image Processing. September 23,-,26. T. II. Rochester, 2002. 103-107.
- Васильев Ф.П. Численные методы решения экстремальных задач. М.: Наука,
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Published
20-10-2005
How to Cite
Агаян А., Агаян Г., Романов С. A Method of Red-Eye Effect Recognition in Digital Photography // Numerical Methods and Programming (Vychislitel’nye Metody i Programmirovanie). 2005. 6. 257-261
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Section
Section 1. Numerical methods and applications