A Collection of Over a Dozen Image Filtering Algorithms in MATLAB

This article presents a comprehensive collection of over a dozen image filtering algorithms implemented in MATLAB. These implementations were gathered through considerable effort and research, and I am sharing them to provide valuable references for the image processing community. The algorithms cover various filtering techniques including spatial domain filters (mean, median, Gaussian) and frequency domain approaches that can significantly improve image quality by enhancing clarity and sharpness. Through these MATLAB implementations, users can effectively reduce noise in images, enhance fine details, and achieve superior visual results. The code demonstrates practical applications of convolution operations, kernel design, and thresholding techniques for optimal filtering performance. I hope this resource proves beneficial for researchers and developers, potentially inspiring further discussion and investigation into advanced image filtering methodologies.