Image Distortion Correction Technique

This article provides MATLAB source code for image distortion correction techniques. The code implements fundamental image processing operations including spatial transformations and grayscale interpolation algorithms. For researchers in the image processing field, this code serves as a valuable resource for understanding complex techniques and applying them in practical projects. The implementation demonstrates coordinate mapping using transformation matrices and pixel value estimation through interpolation methods like bilinear or bicubic interpolation. Additionally, these algorithms can be applied to related research areas such as computer vision and machine learning, where image preprocessing is essential. The code includes functions for geometric correction, distortion parameter estimation, and image resampling with edge handling. Therefore, if you're looking to deepen your understanding of image processing and related domains, this code provides an excellent starting point with well-documented implementation details.