Lens image correction method

Abstract

A lens image correction method comprises a setting step, an image input step, a coordinate setting step, an interpolation calculation step, an angular point coordinate operation step, a coordinate back-stepping step, a correction parameter operation step, a convergence judgment step and a correction step. After the preset number of angular points is set and the checkerboard image is input, presetangular point coordinate values are generated corresponding to the angular point positions of the checkerboard image. Interpolation operation is performed to amplify the checkerboard image and the preset angular point coordinate value, and the number of operation angular points is generated. When the number of the operation angular points is consistent with the number of the preset angular points,coordinate values of the operation angular points are obtained through calculation by an approach calculation method. Next, an image correction parameter is calculated, and if the image correction parameter converges the edge of the image, a corrected checkerboard image is generated using the calculated angular point coordinate value as a corrected angular point coordinate value.

Description

technical field [0001] The present disclosure relates to the field of image processing, in particular to a lens image correction method. Background technique [0002] Now with the development of imaging technology, the demand for 3D imaging has increased significantly. Currently, two lenses (one of which is used as a depth lens, such as a TOF (time of flight) lens) are usually used to create a point cloud to construct a 3D model of an image. However, in order to consider the overall computing speed, the depth lens usually adopts a low-resolution lens so that the 3D model can be established in real time. [0003] Due to the low resolution of the depth lens, there are fewer pixels in a single image, and as long as there is a deviation of one pixel in the position of the reference point (such as the black and white corner point on the black and white grid), the coordinate position of the black and white corner point will be seriously deviated , causing the established 3D mode...

AI Technical Summary

Problems solved by technology

[0003]Due to the low resolution of the depth camera, there are fewer pixels in a single image, and there is only one reference point (such as a black and white corner point on a black and white grid) The deviation of the pixels will cause serious deviations in the coordinate positions of the black and white corner points, resulting in the failure of the established 3D model to converge

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