Generating Motion Blur Images with MATLAB Implementation

Based on the underlying principles of motion blur generation, I have developed a MATLAB program specifically designed to produce motion blur images. This program generates images with motion blur effects by accepting user-input blur length parameters, while defaulting the blur angle to 0 degrees. Motion blur represents a fundamental image processing technique that simulates the blurring effects occurring when objects move during exposure. The implementation utilizes MATLAB's image processing toolbox, employing convolution operations with a motion blur kernel. Key functions include fspecial() for creating the motion filter and imfilter() for applying the blur effect to input images. The algorithm works by constructing a linear motion point spread function (PSF) that models uniform linear motion across the image plane. Users can freely adjust the blur length parameter to achieve varying degrees of blur intensity, allowing for customizable simulation of different motion velocities. This program serves as a valuable tool for both academic research and practical applications in digital image processing, enabling the generation of high-quality motion blur images for analysis, testing, or demonstration purposes. The code structure includes parameter validation, image loading routines, and flexible output options to accommodate various workflow requirements.