AUTOMATIC RED-EYE DETECTION AND CORRECTION IN DIGITAL PHOTOGRAPHS

• Main Authors: Chi-tzu Lin, 林起字
• Other Authors: Jia-ching Cheng
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/t6dyze

碩士 === 大同大學 === 通訊工程研究所 === 95 === Red-eye is a troublesome problem in digital photographs. Although many red-eye reduction algorithms were proposed and carried out in most of the digital cameras, none of these algorithms is effective enough. In this thesis, we propose an automatic red-eye detection and correction algorithm to improve previous work. Multiple pairs of red-eyes snapped in different view angles are expected to be detected correctly and recovered to be a natural look in digital photographs. In order to detect red-eyes, an image with red-eyes is first divided into the red color regions and skin color regions in the color space. Then we use a red-eye filter to sift out red color regions and denote them as red-eye candidates. After obtaining red-eye candidates, we calculate the radian of each red-eye candidate to verify if it is included in the skin color regions and subsequently determine its location precisely. Finally the color of the detected red-eyes is corrected by modifying the saturation and luminance of the associated pixels such that red color is removed while maintaining a natural look. We evaluate the performance of the proposed algorithm with a collection of about 150 red-eye images. Experimental results show that more than 85% of red-eyes can be detected, thus suggest that the proposed method is rather robust and efficient.