Vignetting distortion correction method for high quality digital imaging

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03(2004)

引用 69|浏览0
暂无评分
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 the traditional lookup table (LUT) methods. We show the effectiveness of the proposed method by presenting the experimental results obtained from commercial digital cameras.
更多
查看译文
关键词
commercial digital camera,digital cameras,nonlinear model fitting,embedded digital imaging application,vignetting distortion function,conventional image enhancement,vignetting distortion correction method,lookup table method,nonlinear estimation,memory requirement,vignetting correction,vignetting distortion,proposed vignetting distortion function,optical distortion,light intensity profile distribution,optical system,high quality digital imaging,high quality embedded digital imaging,image enhancement,table lookup,digital image,lookup table
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要