please click on the name of criteria. Just try it... Bandelet_ImageFusion_Toolbox.zip

Please run bandelet_fusion_256.m

Matlab Image Fusion Toolbox for image fusion algorithm based on bandelet transform.

You can download this toolbox at

http://csrc.xmu.edu.cn/project/Bandelet/Bandelet_ImageFusion_Toolbox.zip

or

http://dspace.xmu.edu.cn/dspace/bitstream/2288/19179/1/Bandelet_ImageFusion_Toolbox.zip

This toolbox contains Matlab files that implement the image fusion algorithms described in paper

Xiaobo Qu, Jingwen Yan, Guofu Xie, et al. A Novel Image Fusion Algorithm Based on Bandelet Transform. Chinese Optics Letters,Vol.5,No.10,pp:569-572, 2007

English Version of this paper can be downloaded at

http://dspace.xmu.edu.cn/dspace/bitstream/2288/15239/1/A+novel+image+fusion+algorithm+based+on+bandelet+transform.pdf

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
If you use the code, please cite the paper as follows:

% References:

Xiaobo Qu, Jingwen Yan, Guofu Xie, et al. A Novel Image Fusion Algorithm Based on Bandelet Transform. Chinese Optics Letters,Vol.5,No.10,pp:569-572, 2007

(Check http://csrc.xmu.edu.cn,http://quxiaobo.go.8866.org, http://quxiaobo.blog.edu.cn or http://naec.stu.edu.cn for these and other related papers.)
%=============================================================

QU Xiao-BO,
Xiamen University in P.R.China, April 2009.

% ---------
% Author: Qu Xiao-Bo <qxb_xmu [at] yahoo.com.cn> Aug.28,2008
% Postal address:
% Rom 509, Scientific Research Building # 2,Haiyun Campus, Xiamen University,Xiamen,Fujian, P. R. China, 361005
% Website: http://csrc.xmu.edu.cn or http://quxiaobo.go.8866.org
%=============================================================
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
You have to other toolbox required:

1. FusionEvalution toolbox at

http://dspace.xmu.edu.cn/dspace/bitstream/2288/16979/1/FusionEvaluation.rar

2. Bandelet Toolbox at

http://www.cmap.polytechnique.fr/~peyre/bandelets/

or

http://www.mathworks.com/matlabcentral/fileexchange/7914

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Acknowledgement

1. This code is copyright and is supplied free of charge for research
purposes only. In return for supplying the code, all I ask is that, if
you use the algorithms, you give due reference to this work in any
papers that you write. If the applications are good, I would be
very interested in collaboration. I accept no liability arising from use
of these algorithms.

2. Thanks Dr.Gabriel Peyre for sharing his bandelet code for our image fusion algorithm. The copyright of this bandelet toolbox belongs to him.

Comment on the selection of geometry of images for image fusion

In the original paper

Xiaobo Qu, Jingwen Yan, Guofu Xie, et al. A Novel Image Fusion Algorithm Based on Bandelet Transform. Chinese Optics Letters,Vol.5,No.10,pp:569-572, 2007

the geometry of two source images are selected by maximum rule. I think it only works well for multi-focus image fusion since the geometry may looks like each other. In fact, comparion on which geometry is greater is meaningless since it denotes the direction.

So, you'd better chang the rule to get the geometry of fused image from the source images. Especially for the source images whose structure are very different to each other.

If you have any comment, please send email to me:

<quxiaobo [at] xmu.edu.cn>

or

<qxb_xmu [at] yahoo.com.cn>