Algorithm and Implementation for Digital Image Rotation Using MATLAB

This algorithm and implementation written in MATLAB enables digital image rotation. The process begins by converting the image into a digital matrix representation. The rotation operation is performed using rotation matrix transformations, which mathematically reposition pixels around specified coordinates. Users can adjust rotation angles and rotation center points to achieve image rotation at various angles and positions. The implementation employs key MATLAB functions such as imread() for image input, imrotate() for core rotation operations, and imshow() for visualization. To enhance image quality post-rotation, interpolation methods like bilinear or bicubic interpolation are incorporated to handle pixel gaps and smooth transitions. These interpolation techniques calculate new pixel values based on surrounding pixels, preventing aliasing artifacts. The algorithm efficiently handles edge cases and maintains image dimensions through automatic padding or cropping options. Overall, this MATLAB-based digital image rotation algorithm provides a convenient and efficient solution for image processing tasks, featuring customizable parameters and robust error handling for professional applications.