Complete HDR Image Processing Tool Written in MATLAB

This complete HDR image processing tool is implemented in MATLAB and includes core functionalities such as HDR image synthesis and Tone Mapping Operators (TMO). The toolkit features well-organized directory structures with complete file paths, accompanied by practical examples and sample images, making it particularly suitable for educational purposes. Both beginners and professionals will find this to be an invaluable learning resource. The implementation includes algorithms for merging multiple exposure bracketed images into HDR radiance maps using weighted fusion techniques, followed by various TMO methods for dynamic range compression. Users can study how to process HDR images through the provided codebase and utilize TMO functions to adjust image appearance and perceptual qualities. Whether you're interested in computational photography or seeking to deepen your MATLAB programming skills, this toolkit serves as an ideal platform for hands-on learning of image processing pipelines and HDR computational techniques. Key components include exposure fusion algorithms, radiance map reconstruction, and multiple tone mapping implementations such as Reinhard's operator and local tone mapping methods. The code demonstrates proper handling of EXIF data, color space conversions, and gamma correction procedures essential for professional HDR processing workflows.