Maximum Likelihood (ML) estimator for Rayleigh noise in images
This scripts shows how the Maximum Likelihood (ML) estimator works on an image contaminated by Rayleigh noise. The more number of available realizations, the better performance of the estimator.
The code is properly commented in English.
Any comment or suggestion is welcome.
Thanks,
Jesús Monge.
Cite As
Jesús Monge-Álvarez (2024). Maximum Likelihood (ML) estimator for Rayleigh noise in images (https://www.mathworks.com/matlabcentral/fileexchange/51158-maximum-likelihood-ml-estimator-for-rayleigh-noise-in-images), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions > Continuous Distributions > Rayleigh Distribution >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
ML_estimator_for_images/
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |