Multi-Focus Microscopy Image Fusion Based on Swin Transformer Architecture
Han Hank Xia,
Hao Gao,
Hang Shao
et al.
Abstract:In this study, we introduce the U-Swin fusion model, an effective and efficient transformer-based architecture designed for the fusion of multi-focus microscope images. We utilized the Swin-Transformer with shifted window and path merging as the encoder for extracted hierarchical context features. Additionally, a Swin-Transformer-based decoder with patch expansion was designed to perform the un-sampling operation, generating the fully focused image. To enhance the performance of the feature decoder, the skip c… Show more
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