Mittag-Leffler 2D filter for image processing

Generalized low-pass two-dimensional filter with three adjustable parameters


Updated 27 Jun 2023

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Mittag-Leffler 2D filter with exponential-type forgetting
function [img_filt] = ML_filter_2D(img, sigma, alpha, beta)
Inputs: img = an image to be filtered or blured
sigma = standard deviation
alpha, beta = parameters of the Mittag-Leffler function
Output: img_filt = filtered image given in variable img
Please note that for running demo the well-know image of Lena
is necessary. Format PNG is used and file name is 'Lena.png'.
For more details about the function and help please write:
>> help ML_filter_2D
See also draft of manuscript with examples:
Petras, Ivo (2023). Novel low-pass two-dimensional Mittag-Leffler filter and its application in image processing. TechRxiv. Preprint.

Cite As

Ivo Petras (2023). Mittag-Leffler 2D filter for image processing (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2022a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes

Add a link to the manuscript with examples.


Changed the title.


Added image of Lena.