The use of camera images for estimating object locations and distances has increased substantially, resulting in greater sensitivity to image distortion caused by camera lenses. Existing approaches to estimating and correcting lens distortion coefficients are limited because they apply uniform corrections to the entire image. This study introduces a method that enhances correction performance by approximately 30 percent compared to conventional techniques by estimating lens distortion coefficients for individual regions within the image and correcting objects within those regions. The proposed approach enables the accurate estimation of two-dimensional coordinates for target objects in specific image regions, yielding significantly improved image quality when the entire image is divided into regions and corrected sequentially.
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Abstract 1. Introduction 2. Estimation and correction of camera lens distortion coefficients 2.1 Lens distortion coefficient estimation model and estimation method 2.2 Method for correcting lens distortion and measuring correction error 3. A proposed lens distortion correction method optimized for the image region 4. Experiments 4.1 Comparison of errors between basic and extended lens distortion models 4.2 Comparison of lens distortion correction errors according to the number of intersections on a chessboard 4.3 Comparison of lens distortion correction errors according to shooting distance 4.4 Performance Analysis of Local Lens Distortion Correction Methods 5. Conclusion Acknowledgement References