Synthesizing HDR Images Using MATLAB

Our algorithm leverages multiple exposure-bracketed photographs to reconstruct the camera response function through a complementary methodology that maximizes luminance range. The derived response function enables fusion of multiple images into a single high dynamic range (HDR) image with enhanced pixel accuracy representing real-world scenes. Validation using both optical images from traditional cameras and digital image acquisition methods demonstrates the algorithm's correctness and robustness, with implementations featuring pixel-wise weighting and radiance map reconstruction techniques.