Image Rectification using Homography Transformation

This example demonstrates MATLAB implementation of image homography rectification. Homography rectification is an image processing technique that performs perspective correction to make images appear more intuitive and realistic. The implementation uses a 3×3 homography matrix to transform image coordinates, correcting perspective distortions through projective geometry. We provide detailed sample images and demonstrations to help you better understand the transformation process. The main program RectifyImg.m contains the complete implementation, including key functions for: - Feature point detection and matching - Homography matrix calculation using Direct Linear Transform (DLT) - Image warping with bilinear interpolation - Perspective correction and output generation By using this program, you can easily perform homography rectification on images and achieve improved visual results. The code includes proper handling of boundary conditions and maintains image quality during the transformation process.