%0 Journal Article %A SANG Gaoli1 %A XUAN Shibin1 %A 2 %A ZHAO Bo1 %A ZHENG Zengguo1 %T Fusion algorithm for infrared and visible light images using object extraction and NSCT %D 2013 %R %J Computer Engineering and Applications %P 172-176 %V 49 %N 11 %X Taking into account the characteristics of the infrared and visual images, for insufficient information content of the fused images, a novel algorithm for infrared and visible light image based on object extraction and NSCT is proposed. And the local information entropy based fusion ruler is used to process the high-frequency coefficients of object. Four fusion methods wavelet transform, Laplace-pyramid transform, NSCT, lifting directionlet transform, are selected as benchmark methods. And the fused image is quantitative analysed by mean of three indicatrix:information entropy, standard deviation, correlation coefficient. Experimental results indicate that proposed method not only solves the original image fusion algorithm for the problem of insufficient information content, but also  extracts the source image characteristics more effectively and accurately, it achieves better fusion effect in the subjective and objective evaluation. %U http://cea.ceaj.org/EN/abstract/article_30525.shtml