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Erschienen in:
Adaptive Global and Local Contrast Enhancement Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

7. Automatic Red Eye Correction

verfasst von : Dr. Ilia V. Safonov, Dr. Ilya V. Kurilin, Prof. Dr. Michael N. Rychagov, Dr. Ekaterina V. Tolstaya

Erschienen in: Adaptive Image Processing Algorithms for Printing

Verlag: Springer Singapore

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Abstract

The red eye artefact is an irritating defect in photos. The correction of red eyes during printing without user intervention is an important task. This chapter is devoted to a description of an efficient technique for automatic correction of red eyes. Initially we developed a method for a photo printer; however, our approach is applicable for any software and firmware. The algorithm is independent of face orientation and is capable of detecting paired red eyes as well as single red eyes. For the segmentation of roundish red regions, we applied colour information and thresholding in the domain of outcomes of four-directional edge-detection filters jointly. For classification of segmented regions, we built a cascade of classifiers: three simple classifiers eliminate obviously false areas, and after that an ensemble of decision trees created by an adaptive boosting algorithm performs detection of red-eye regions with good performance. A retouching stage includes desaturation, darkening, and blending with the initial image. In addition, we construct a sophisticated quality criterion of correction: we employ the Analytic Hierarchy Process for prioritization of the observer’s opinions about outcomes of detection and correction. The experimental results demonstrate good performance of the proposed algorithm in comparison with existing solutions.

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Vorheriges Kapitel Descreening of Scanned Images
Nächstes Kapitel Image Upscaling
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Metadaten
Titel
Automatic Red Eye Correction
verfasst von
Dr. Ilia V. Safonov
Dr. Ilya V. Kurilin
Prof. Dr. Michael N. Rychagov
Dr. Ekaterina V. Tolstaya
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Adaptive Image Processing Algorithms for Printing

Print ISBN: 978-981-10-6930-7

Electronic ISBN: 978-981-10-6931-4

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-10-6931-4_7

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