Fisheye Image Correction Algorithm Implementation

This project presents a MATLAB implementation of a fisheye image correction algorithm that I developed as a custom application. The program performs geometric correction on fisheye-distorted images to produce more realistic and accurate visual representations. The implementation includes perspective transformation algorithms that effectively remove fisheye distortion effects, resulting in images with more natural viewing angles and proper linear perspective. The correction process involves mathematical transformations that map distorted fisheye coordinates to regular rectangular coordinates using appropriate projection models. Key functions in the implementation likely include coordinate transformation calculations, interpolation methods for pixel remapping, and distortion parameter estimation. During development, I considered various scenarios and detailed aspects to ensure correction accuracy and visual quality. The algorithm handles different distortion patterns and image resolutions while maintaining computational efficiency. This application represents my practical understanding and implementation of fisheye correction techniques, which I hope will contribute to research and applications in this field for other developers and researchers.