TY  - EJOU
AU  - He, Yibin 
AU  - Xiong, Wenhao 
AU  - Chen, Hanxin 
AU  - Chen, Yuchen 
AU  - Dai, Qiaosen 
AU  - Tu, Panpan 
AU  - Hu, Gaorui 

TI  - Fish-Eye Image Distortion Correction Based on Adaptive Partition Fitting
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2021
VL  - 126
IS  - 1
SN  - 1526-1506

AB  - The acquisition of images with a fish-eye lens can cause serious image distortion because of the short focal length
of the lens. As a result, it is difficult to use the obtained image information. To make use of the effective information
in the image, these distorted images must first be corrected into the perspective of projection images in accordance
with the human eye’s observation abilities. To solve this problem, this study presents an adaptive classification fitting
method for fish-eye image correction. The degree of distortion in the image is represented by the difference value
of the distances from the distorted point and undistorted point to the center of the image. The target points selected
in the image are classified by the difference value. In the areas classified by different distortion differences, different
parameter curves were used for fitting and correction. The algorithm was verified through experiments. The results
showed that this method has a substantial correction effect on fish-eye images taken by different fish-eye lenses.
KW  - Fish-eye lens; image distortion; distortion difference; adaptive partition fitting

DO  - 10.32604/cmes.2021.010771