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The same object visual and near infrared images were fused in some agriculture pick machine vision systems. A novel fast image fusion algorithm has been proposed based on lifting wavelet transform and fractal dimension theory. Firstly, the registered original images were decomposed by using lifting wavelet transform respectively. Then, the decomposition low frequency components were combined with fractal dimension. The decomposition high frequency components were merged by region cross-entropy and energy features. Finally, the composite image was obtained by using inverse lifting wavelet transform. Experimental results demonstrated that the fusion algorithm is more effective in the fused image quality than traditional method based on wavelet transform. The fused image is suitable to human vision characteristic and is advantageous for further analyzing, understanding and recognizing.