Fast Guassian Blur

Version 1.0.0.0 (847 KB) by Royi Avital
Fastest Implementation of Gaussian Blur
4.7
(3)
817 Downloads
Updated 15 Mar 2022
View License on GitHub

Evaluation of few methods to apply Gaussian Blur on an Image.
The implemented methods:
1. Truncated Gaussian Kernel (FIR Filter).
2. Gaussian Blur approximation using Box Blur (Central Limit Theorem).
3. Gaussian Kernel Approximation using IIR Filter.

Cite As

Royi Avital (2024). Fast Guassian Blur (https://github.com/RoyiAvital/FastGuassianBlur), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: FilterM

Inspired: Blind Gaussian De-blurring of an Image

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Version Published Release Notes
1.0.0.0

Updated Description.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.