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End-To-End Low Cost Compressive Spectral Imaging With Spatial-Spectral Self-Attention by zqguo5552 is a document available to read on EtoBox.

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The document presents a low-cost solution for coded aperture snapshot spectral imaging (CASSI) that achieves video-rate high-quality reconstruction using a novel deep learning model called Spatial-Spectral Self-Attention (TSA-Net). The authors reproduce a stable single disperser CASSI system to collect large-scale real-world data and propose TSA to effectively model spatial and spectral correlations in hyperspectral images. The study also addresses the impact of noise on reconstruction quality and demonstra

Author

zqguo5552

Language

EN