Explore MATLAB source code curated for "椒盐噪声" with clean implementations, documentation, and examples.
Mean filtering performance on Gaussian noise, 2D adaptive Wiener filtering effectiveness for Gaussian noise removal, comparative analysis of mean/median/Wiener filters on salt-and-pepper noise, 2D statistical filtering applications for both noise types, image denoising using wrcoef2 function with MATLAB implementation examples
A MATLAB program designed for image filtering that effectively removes severe salt-and-pepper noise, featuring comprehensive annotations for easy understanding of the implementation logic and algorithmic approach.
This experiment demonstrates adding Gaussian noise and salt-and-pepper noise to grayscale images, followed by median filtering and mean filtering processing with code implementation details
Implementation of salt-and-pepper noise reduction through adaptive fuzzy selection filtering with noise-level awareness
MATLAB implementation for adding multiple noise types to images: salt-and-pepper noise, Gaussian noise, multiplicative noise, and more, with code examples and algorithm explanations.
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
Various algorithms for adding noise to images, including salt-and-pepper noise and Gaussian noise. Since MATLAB's built-in Gaussian noise function has normalization issues that may produce unexpected results, it's generally recommended to implement custom noise addition methods.