Adaptive Median Filter Function for Digital Image Processing
MATLAB implementation (.m file) of adaptive median filter for digital image processing with noise reduction capabilities
Switching Median Filter, Extremum Median Filter, Adaptive Median Filter - MATLAB Implementation
This repository contains M-file source code implementations of switching median filter, extremum median filter, and adaptive median filter algorithms. The program achieves results comparable to those presented in academic papers, providing practical MATLAB implementations for image denoising applications.
Traditional Filtering Methods such as Mean Filtering
Traditional filtering methods including mean filtering, median filtering, and Wiener filtering for image denoising, along with adaptive median filtering approaches for noise removal.
Median, Mean Filtering, Adaptive Median Filtering, and an Improved Salt-and-Pepper Noise Filtering Program
This program package contains implementations of median filtering, mean filtering, adaptive median filtering, and an enhanced salt-and-pepper noise filtering algorithm. The first three methods serve as benchmarks for comparison with the fourth method, which demonstrates superior performance in removing salt-and-pepper noise from images. All implementations include efficient matrix operations and sliding window techniques for optimal image processing performance.
Image Processing with Gaussian, Uniform, and Salt-and-Pepper Noise Addition and Removal
Implementing Gaussian noise, uniform noise, and salt-and-pepper noise addition to images, followed by denoising using alpha-trimmed mean filtering and adaptive median filtering algorithms, with comprehensive performance evaluation of denoising effectiveness
Adaptive Median Filter
adpmedian.m - Adaptive Median Filter Implementation for MATLAB 6.5.1
Adaptive Median Filter
A MATLAB-based adaptive median filtering implementation with excellent performance, ideal for beginners. Includes test images that can be replaced with custom images. Simply run main.m to execute the program. Features a straightforward algorithm with fast computational speed.
Adaptive Median Filtering for Image Processing
Implementation of Adaptive Median Filtering with Code-Level Algorithm Explanations