Lowlights map

Version 1.0.1 (949 KB) by Geoffrey Schivre
Correct image background using 3d visibility operators.
0.0
(0)
62 Downloads
Updated 28 Apr 2019

View License

Implementation of the algorithm of : Kligler, N., Katz, S., & Tal, A. (2018). Document Enhancement Using Visibility Detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 2374-2382).
This algorithm use the 3d visibility operator : Hidden point removal (HPR) or Target Point Occluding (TPO) to find deep valley points (black caracters) in a grayscale image.
The miniature is generated by :

I = imread('PR3.png');
Ilab = rgb2lab(I);
Img = mat2gray(Ilab(:, :, 1));
L = LowLight(Img, [5e-2, 1], 1e-4);
figure;
imshowpair(Img, L, 'montage')
title('Input and corrected image')

The 'PR3.png' image come from de DIBCO2011 database and is found here : http://utopia.duth.gr/~ipratika/DIBCO2011/benchmark/

Cite As

Geoffrey Schivre (2025). Lowlights map (https://www.mathworks.com/matlabcentral/fileexchange/71388-lowlights-map), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018a
Compatible with R2013a and later releases
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version Published Release Notes
1.0.1

Correct the description of L in LowLight function.
1.0.0