【摘要】 视频图像在传播过程中会出现信息畸变，致使图像几何失真，为此提出基于光纤传感器的视频图像几何失真校正方法。分析视频图像像素节点在光敏区域分布情况，提取亚像素视差信息，通过面阵CCD图像传感器获取畸变视频图像；利用畸变曲线近似模型计算出视频图像畸变率，确定畸变图像坐标，并结合双线性灰度插值算法推导校正参数，实现视频图像的几何失真校正。实验结果表明，所提方法能够有效校正不同种类的视频图像几何畸变，校正后的图像与原图像相似度高超过0.97,图像边缘模糊程度降低，提高了图像的视觉观测效果。更多还原

【Abstract】 During the propagation process of video images, information distortion may occur, resulting in geometric distortion of the image. Therefore, a video image geometric distortion correction method based on fiber optic sensors is proposed. Analyze the distribution of pixel nodes in the photosensitive area of the video image, extract sub pixel disparity information, and obtain distorted video images through an array CCD image sensor; Using a distortion curve approximation model to calculate the distortion rate of video images, determine the coordinates of the distorted images, and combine bilinear grayscale interpolation algorithm to derive correction parameters to achieve geometric distortion correction of video images. The experimental results show that the proposed method can effectively correct geometric distortions of different types of video images. The similarity between the corrected image and the original image exceeds 0.97, and the degree of image edge blur is reduced, improving the visual observation effect of the image.更多还原