AUTOMATIC RED-EYE DETECTION AND CORRECTION IN DIGITAL PHOTOGRAPHS
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 detectio...
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ndltd-TW-095TTU056500402019-05-15T20:22:10Z http://ndltd.ncl.edu.tw/handle/t6dyze AUTOMATIC RED-EYE DETECTION AND CORRECTION IN DIGITAL PHOTOGRAPHS 數位紅眼缺陷的全自動化檢測及校正研究 Chi-tzu Lin 林起字 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. Jia-ching Cheng 鄭嘉慶 2007 學位論文 ; thesis 31 zh-TW |
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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.
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author2 |
Jia-ching Cheng |
author_facet |
Jia-ching Cheng Chi-tzu Lin 林起字 |
author |
Chi-tzu Lin 林起字 |
spellingShingle |
Chi-tzu Lin 林起字 AUTOMATIC RED-EYE DETECTION AND CORRECTION IN DIGITAL PHOTOGRAPHS |
author_sort |
Chi-tzu Lin |
title |
AUTOMATIC RED-EYE DETECTION AND CORRECTION IN DIGITAL PHOTOGRAPHS |
title_short |
AUTOMATIC RED-EYE DETECTION AND CORRECTION IN DIGITAL PHOTOGRAPHS |
title_full |
AUTOMATIC RED-EYE DETECTION AND CORRECTION IN DIGITAL PHOTOGRAPHS |
title_fullStr |
AUTOMATIC RED-EYE DETECTION AND CORRECTION IN DIGITAL PHOTOGRAPHS |
title_full_unstemmed |
AUTOMATIC RED-EYE DETECTION AND CORRECTION IN DIGITAL PHOTOGRAPHS |
title_sort |
automatic red-eye detection and correction in digital photographs |
publishDate |
2007 |
url |
http://ndltd.ncl.edu.tw/handle/t6dyze |
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