Image Restoration Using the Lucy-Richardson Method

This small application is implemented in MATLAB to perform image restoration based on the Lucy-Richardson method. The program effectively removes noise from images, resulting in clearer and more detailed visuals. The Lucy-Richardson algorithm is an iterative deconvolution technique that works by comparing the observed image with a predicted image during each iteration, progressively adjusting pixel values to minimize discrepancies. One of its key advantages is the ability to restore images without prior knowledge of the noise distribution, making it particularly valuable in fields such as medical imaging and astronomical image processing. The implementation demonstrates core MATLAB functions like deconvlucy() for iterative restoration, providing users with practical insights into optimizing parameters like iteration count and regularization settings. This tool not only deepens understanding of the Lucy-Richardson methodology but also improves the efficiency and accuracy of image restoration in real-world applications through customizable code execution.