GitHub - madsheep87/SROD: Code for Visual Saliency Detection via Sparse Residual and Outlier Detection

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Code for Visual Saliency Detection via Sparse Residual and Outlier Detection

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
GuidedFilter		GuidedFilter
Input		Input
Output		Output
.gitattributes		.gitattributes
DicNat.mat		DicNat.mat
OSOS.m		OSOS.m
Outlier.m		Outlier.m
RGB2Lab.m		RGB2Lab.m
SparseResidual.m		SparseResidual.m
calOptimizedGuassTemplate.m		calOptimizedGuassTemplate.m
calculateGuassOptimization.m		calculateGuassOptimization.m
demo.m		demo.m
guidedfilter.m		guidedfilter.m
im2Vector.m		im2Vector.m
readme.txt		readme.txt
vector2Im.m		vector2Im.m

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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This code is for [1], and can only be used for non-commercial purpose. If
% you use our code, please cite [1].
% 
% Code Author: He Tang
% Email: hetang@hust.edu.cn
% Date: 12/24/2016
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

1. Put input images into the folder "input"
2. run "demo.m" to compute saliency maps.

[1] Tang H, Chen C, Pei X. Visual Saliency Detection via Sparse Residual and Outlier Detection. IEEE Signal Processing Letters, 2016, 23(12): 1736-1740.