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Authors: Chun-Hsien Chou 1 ; Kuo-Cheng Liu 2 and Shao-Wei Su 1

Affiliations: 1 Tatung University, Taiwan ; 2 Tatung University; Foreign Language and Information Educating Center, Taiwan Hospitality and Tourism College, Taiwan

ISBN: 978-989-8111-18-0

Keyword(s): Red-eye, Digital photography, Digital cameras, Uniform color space, Color difference.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: Red-eye is a highly objectionable defect that often occurs in digital images taken with a flash by modern small cameras. Although many red-eye reduction algorithms were proposed and equipped in most of the digital cameras, none of these algorithms is effective enough. In this paper, an algorithm for automatic detection and correction of red-eyes is proposed. The color detector based on uniform color metric is developed to locate regions of major colors including red-eye color and skin tone. The structure of major colors is adopted to locate candidate red-eye regions. The geometric relationship between the dimension of the human pupil and binocular distance is employed to eliminate most false positives (image regions that look like red-eyes but are not). More than one pairs of red-eyes snapped in different view angles are detected by the proposed algorithm. Detected red-eyes are then corrected by modifying chroma, hue angles and luminance of the associated pixels such that red color is removed while maintaining a natural look of the eye. Simulation results show that the proposed algorithm is pretty robust and effective. (More)

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Paper citation in several formats:
Chou C.; Liu K.; Su S. and (2008). A FULLY AUTOMATIC RED-EYES DETECTION AND CORRECTION ALGORITHM BASED ON UNIFORM COLOR METRIC AND BINOCULAR GEOMETRIC CONSTRAINT.In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 263-266. DOI: 10.5220/0001065302630266

@conference{biosignals08,
author={Chun{-}Hsien Chou and Kuo{-}Cheng Liu and Shao{-}Wei Su},
title={A FULLY AUTOMATIC RED-EYES DETECTION AND CORRECTION ALGORITHM BASED ON UNIFORM COLOR METRIC AND BINOCULAR GEOMETRIC CONSTRAINT},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={263-266},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001065302630266},
isbn={978-989-8111-18-0},
}

TY - CONF

JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)
TI - A FULLY AUTOMATIC RED-EYES DETECTION AND CORRECTION ALGORITHM BASED ON UNIFORM COLOR METRIC AND BINOCULAR GEOMETRIC CONSTRAINT
SN - 978-989-8111-18-0
AU - Chou, C.
AU - Liu, K.
AU - Su, S.
PY - 2008
SP - 263
EP - 266
DO - 10.5220/0001065302630266

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