[image enhancement] image enhancement based on sparse representation and regularization with matlab code

1 brief introduction

2 Part of the code

function [features] = extract(window,grid,X,filters)​feature_size = prod(window)*numel(filters);​% Current image features extraction [feature x index]if isempty(filters)    f=X(grid);    features = reshape(f,[size(f,1) * size(f,2) size(f,3)]);else    features = zeros([feature_size size(grid,3)],'single');    for i = 1:numel(filters)        f_l=conv2(X,filters{i},'same');        f=X-f_l;        f=f(grid);        f=reshape(f,[size(f,1)*size(f,2) size(f,3)]);        features((1:size(f,1))+(i-1)*size(f,1),:)=f;    endend​

3 Simulation results

4 reference

[1] Zhu Bo , Li Hua , Gao Wei , etc. . Image super-resolution algorithm based on regularized sparse representation [J]. Optoelectronics . laser , 2013(10):2024-2030.​

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