Multifocus image fusion based on contrast and neural network
基于神经网络与对比度的多聚焦图像融合技术

A novel multi-focus image fusion method using wavelet contrast and neural network was proposed.Firstly,source images were decomposed with Wavelet Transform(WT) and wavelet contrasts were obtained.Some of them were selected as samples for training feed-forward neural network.Then,the wavelet coefficients of fused image though neural network were output and verified by consistency.Finally,the fused image was obtained with inverse WT.Experiment results show that the proposed method outperforms traditional WT method for multi-focus image fusion.