Automatic Fusion Method of Multi-Focused Images Based on Deep Convolutional Networks
Image fusion with different focusing states is easy to produce blur.In this case,the automatic fusion method of multi-focusing images based on deep convolutional network is proposed.The multi-focus region of the image is first detected,and the deep convolutional network is used to select the size of the image block to facilitate subsequent image fusion.After selecting the size of the image block,the frequency subband coefficient can be further determined by the wavelet transform.Finally,combined with the automatic fusion method of deep convolutional network,the images of different focusing states are fused to get a complete fusion image with better visual effect.Experiments show that the multi-focus image automatic fusion method using deep convolutional network can get clear images in the fusion process and have good application effect.
deep convolutional networkmulti-focused imageimage automatic fusionfrequency subband coefficient
万方数据
维普
