Multi-focus Image Fusion Based on Feature Optimization of Region and Edge Enhancement
In order to solve the problems of missing focus information and insufficient expression of edge details in multi-focus fusion images,a multi-focus image fusion method based on feature optimization of focus region and edge enhancement is proposed.Firstly,a four direction focusing feature enhancement network is proposed,which can enhance and complete the focusing feature during image coding.Secondly,a new focus region extraction strategy based on spatial frequency(NSF)is proposed,which can efficiently extract the features of focus region in the coding process.Finally,an edge feature enhancement module is proposed,which can effectively calculate the edge gradient of the image to enhance the edge information of the target area.Qualitative and quantitative comparisons were conducted with eight fusion methods in the Lytro dataset and the MFFW dataset.The experimental results show the proposed fusion method can solve the problems of insufficient expression of focus features,incomplete texture details and fuzzy edges in multi-focus fusion images effectively,with remarkable visual effect.
万方数据
维普
