[image fusion] multi focus and multi spectral image fusion based on cross bilateral filter and weighted average with matlab code

1 brief introduction

​ For low illumination or night conditions, the signal-to-noise ratio of color images is low 、 The image details are not clear enough ; The near-infrared camera can get the texture under this condition 、 Images with rich details such as edges , But the lack of color information , A cross bilateral filter and weighted average image fusion algorithm are proposed , It can get clear color image under low illumination .

2 Part of the code

function h=gauss_ker2D(sigmas,ksize)​%%% 2D Gaussian Kernel Generation.​%​% %%% Gaussian Kernel Generation. % %% 1st Method.% for x=-floor(ksize/2):floor(ksize/2)%    for y=-floor(ksize/2):floor(ksize/2)%       h1(x+floor(ksize/2)+1,y+floor(ksize/2)+1)=exp(-(x^2+y^2)/(2*(sigmas)^2));%    end% end​%% 2nd Method.x=[-floor(ksize/2):floor(ksize/2)];x2=repmat(x.^2,ksize,1);x3=x2'+x2;h=exp(-(x3/(2*(sigmas)^2)));​​

3 Simulation results

4 reference

[1] Wuchuan , Yang Dong . Improved multispectral bilateral filtering image fusion [J]. Chinese Journal of image graphics , 2013, 18(9):6.

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