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《Infrared Technology》 2009-07
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Dual Sub-band MWIR Images Fusion Based on CSSNN of Hunman Visual

LENG Min,YANG Feng-Bao,QI Wei(Information and Communications Engineering College,North University of china,Taiyuan Shanxi 030051,China)  
Image characterizations in subdivision band 3.4~4.1 μm and 4.5~5.3 μm of mid-wave infrared(MWIR) are studied.Structure of the retina domain and the Center-Surround Shunting Neural Networks(CSSNN) in the human visual are used.In order to fuse these two subdivision images,I design a new network model.Comparing with the subdivision images,the fusion image has the pattern standard deviation and roughness concentration of multi direction increase,moreover the sun effect parameter decreases.The fusion result contains the relatively legible information of double sub-band MWIR images and reduces the sun saturation section,and the validity of algorithm is proved.The experimental results show that image of fusion is better than of original sub-band MWIR.
【CateGory Index】: TP183;TP391.41
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