一种新的鱼眼图像校正算法

A New Fish Eye Image Correction Algorithm

鱼眼镜头由于焦距短视角大而在不同领域得到广泛应用,但鱼眼镜头在成像时由于不同视场垂轴放大率不同,使图像产生畸变,影响鱼眼图像的实际应用价值,由此引起了人们对鱼眼图像的研究热潮。该文就校正鱼眼图像畸变问题展开研究,首先提出了一种新的确定鱼眼图像有效区域的扫描线逼近算法,解决了经典扫描线逼近法在有效区域边界存在大量黑色像素点时容易出现偏差的问题。然后,又提出了一种对鱼眼图像横向和纵向同时进行校正的算法,实验结果表明新的校正算法的横向校正效果与经度校正算法相近,纵向校正效果明显优于经度校正算法,在校正速度上也有所提升,且校正后的图像清晰度要远远好于经度校正算法校正后的图像。

Fish-eye lens are widely used in different fields because of its short focal length and large viewing angle.However,the image distortion is caused by the different vertical magnification of different field of view,which affects the practical application value of fish eye image,which causes the research upsurge of fish eye image.In this paper,the problem of correcting fisheye image distortion is studied.Firstly,a new scan line approximation algorithm is proposed to determine the effective region of fisheye image,which solves the problem that the classical scan line approximation method is prone to bias when there are a large number of black pixels in the boundary of the effective region.The experimental results show that the horizontal correction effect of the new correction algorithm is similar to that of the longitude correction algorithm,and the longitudinal correction effect is obviously better than the longitude correction algorithm,the correction speed is also improved,and the image clarity after correction is much better than that of the image corrected by longitude correction algorithm.