Calibration-free and convenient monocular lens fisheye image distortion correcting method

Abstract

The invention provides a calibration-free and convenient monocular lens fisheye image distortion correcting method. The method is characterized by being divided into the following steps: 1) marking out three correction mark points on an image for the single image or a certain frame of the image in a video acquired by a monocular camera; 2) according to the distortion characteristics of the image,constructing a fisheye distortion correction calculation model; 3) subjecting the correction mark points to data optimization to eliminate the error and improve the robustness of the correction algorithm; 4) carrying out numerical solution on the distortion correction calculation model by applying the optimized correction mark points, and reversely solving fisheye distortion parameters; 5) carrying out image correction according to the fisheye distortion parameters, and calculating the pixel value of each point on the corrected image, wherein the fisheye distortion parameters only need to be solved once. According to the correction technology, the parallel treatment on all pixels of the image is not required, while all frames of the image in the video are subjected to parallel treatment. Therefore, the technology is also suitable for the real-time fisheye distortion correction of videos.

Description

technical field [0001] The invention relates to a post-processing technology of camera images in the field of image processing, in particular to a calibration-free and convenient monocular lens image fisheye distortion correction technology. Background technique [0002] Because the camera lens does not conform to the ideal pinhole imaging model, the captured images generally have barrel distortion, pincushion distortion and fisheye distortion. Among them, the fisheye distortion is generally formed by the wide-angle lens. The magnification of the area far away from the optical axis of the lens is lower than that near the optical axis, and a convex scene appears in the image plane. Distortion correction of camera images has very important application value in the field of machine vision and image processing. How to use calibration-free technology to correct these distorted images and videos without predicting various lens parameters has always been a technical problem in the...

AI Technical Summary

Problems solved by technology

The biggest defect of this method is: In many practical applications, it is impossible to use a camera to shoot and sample the calibration template, and it is impossible to correct it.

The disadvantage of this algorithm is that the distortion correction effect of the image at the upper and lower ends along the meridian is very poor

Although this algorithm improves the rectification quality at both ends of the image,

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