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基于大气的退化图像复原

Restoration of Blurred Image Based on Atmospheric

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摘要

由于大气中气溶胶和湍流的存在,致使图像质量退化,依据退化的物理过程,建立了基于大气调制传递函 数(modulation transfer function, )的退化模型,从而进行图像复原。首先,利用图像拍摄时刻湍流和 气溶胶的相关大气参数,估算出粗略的大气;其次,采用一种指数调节曲线的方法,指数因子通过迭 代递归的方法确定,并以复原图像平均梯度最大为截止条件,从而得到更加精准的曲线;最后,给出 了实验结果,并对其进行定量评价,结果表明复原后的图像在视觉效果和定量指标上都有很大提高。

Abstract

Due to the effect of turbulence and aerosol in atmosphere, image quality is degraded. According to physical process of degrading, the model of image degrading was built based on atmospheric modulation transfer function () and was used to restore blurred image. Firstly, Approximate atmospheric was estimated using meteorological data when imaging, including turbulence and aerosol. Then an exponent adjusting method of was used to get more accuracy curve. The exponent adjusting factor was determined by iterative method, and the iteration was stopped when average gradient of restored image was the largest. At last, experimental result was given and assessed quantitatively, which showed that restored image was improved obviously in visual effect and quantitative specification.

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中图分类号:TP391

所属栏目:大气光学

基金项目:国家自然科学基金(40775028)资助

收稿日期:2010-04-20

修改稿日期:2010-07-08

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武鹏飞:中国科学院安徽光学精密机械研究所 中国科学院大气成分与光学重点实验室, 安徽 合肥 230031中国科学院研究生院, 北京 100049
方帅:中国科学院安徽光学精密机械研究所 中国科学院大气成分与光学重点实验室, 安徽 合肥 230031合肥工业大学 计算机与信息学院, 安徽 合肥 230039
徐青山:中国科学院安徽光学精密机械研究所 中国科学院大气成分与光学重点实验室, 安徽 合肥 230031
饶瑞中:中国科学院安徽光学精密机械研究所 中国科学院大气成分与光学重点实验室, 安徽 合肥 230031

联系人作者:武鹏飞(wupengfei422@126.com)

备注:武鹏飞(1987-),男,山东曲阜人,研究生,主要从事大气中图像退化机理的研究。

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引用该论文

WU Peng-fei,FANG Shuai,XU Qing-shan,RAO Rui-zhong. Restoration of Blurred Image Based on Atmospheric[J]. Journal of Atmospheric and Environmental Optics, 2011, 6(3): 196-202

武鹏飞,方帅,徐青山,饶瑞中. 基于大气的退化图像复原[J]. 大气与环境光学学报, 2011, 6(3): 196-202

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