A hemispheric surface improvement method based on parametric method

Abstract

In recent years, multi-mode ultra-wide Angle imaging sensor. Because of the wide field of view, it can synthesize the complementary information of all kinds of images. The multi-mode fusion image has more abundant scene information, and more and more attention has been paid to it. Ultra-wide Angle images usually have image distortion. It brings difficulties to image registration and fusion. In this paper, lens distortion classification and lens imaging principle of ultra-wide Angle image distortion are analyzed. An improved hemispheric algorithm is proposed to correct the barrel distortion of ultra-wide Angle images. Finally, the experimental results of the three distortion correction algorithms are compared and evaluated. Our method reduces the correction error and improves the correction effect.