Vignetting distortion correction method for high quality digital imaging

被引:32
作者
Yu, WP [1 ]
Chung, YK [1 ]
Soh, J [1 ]
机构
[1] ETRI, Intelligent Robot Res Div, Taejon, South Korea
来源
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3 | 2004年
关键词
D O I
10.1109/ICPR.2004.1334617
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Vignetting refers to a position dependent loss of light in the output of an optical system causing gradual fading out of an image near the periphery. In this paper we propose a method for correcting vignetting distortion by introducing nonlinear model fitting of a proposed vignetting distortion function. The proposed method aims for embedded digital imaging applications as well as conventional image enhancement. We could obtain a light intensity profile distribution without precisely controlled illumination and considerably reduce memory requirement for vignetting correction compared with traditional lookup table (LUT) methods. We show the effectiveness of the proposed method by presenting experimental results obtained from commercial digital cameras.
引用
收藏
页码:666 / 669
页数:4
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