Rain Removal From Still Images Using L0 Gradient Minimization Technique

Version (565 KB) by Manu BN
A Matlab code to remove rain


Updated 29 May 2016

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A Matlab code is written to remove rain successfully using Lo gradient minimization technique.
How to run??
1. Unzip and place the folder 'Rain Pixel' in the path of Matlab
2. Run Rain_Removal_GUI.m
3. Select an image from 'Bangalore Rain' folder. Next click on Remove Rain button & observe the results.
4. Next run Verify.m to verify the proposed technique using HOG+SVM approach
The code is based on my paper: https://www.researchgate.net/profile/Manu_Bn2/publication/295235499_Rain_Removal_From_Still_Images_Using_L0_Gradient_Minimization_Technique/links/56c847aa08ae96cdd06acb6f.pdf
PPT Download Link: https://www.researchgate.net/publication/295235748_Rain_Removal_PPT
Please cite the below if you are using this for your research:
[1] Manu, B. N. "Rain removal from still images using L0 gradient minimization technique." Information Technology and Electrical Engineering (ICITEE), 2015 7th International Conference on. IEEE, 2015.

Note: The method of rain detection is only approximate and is different than the one mentioned in the paper. Nevertheless gives highly satisfactory results.

Comments & suggestions are always welcome
Thanks in advance,
Manu B.N

Cite As

Manu BN (2023). Rain Removal From Still Images Using L0 Gradient Minimization Technique (https://www.mathworks.com/matlabcentral/fileexchange/57416-rain-removal-from-still-images-using-l0-gradient-minimization-technique), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes

Verify.m is added to verify the proposed technique.