Summary
HoloPASWIN introduces a novel method for holographic reconstruction by integrating physics principles into Swin Transformers, specifically addressing the decades-old "twin-image" problem in lensless in-line holography. This approach aims to overcome the limitations of standard CNNs, which struggle with global diffraction patterns and real-world sensor noise, by leveraging Swin Blocks for enhanced global context capture. The project includes code, dataset, and paper for further exploration.
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