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Data-driven Deep SwinTransUnet Enables the Prediction of 4K Future Solar Extreme Ultraviolet Images

  • Authors: Hao Li, Tao Shu, Zhou Chen

Hao Li et al 2026 The Astrophysical Journal Supplement Series 287 .

  • Provider: AAS Journals

Caption: Figure 5.

Prediction performance evaluated on the original DN scale. (a) Qualitative comparison between the ground truth (GT) and Swin-4KEUI predictions for nine representative subimages. The full-disk reference image is shown on the left, and each subimage presents the GT, model prediction, and residual map. The residual is computed as model output minus GT. The MSE, PSNR, and SSIM values shown below each subimage are calculated after restoring the data to the original DN scale. (b) Boxplot statistics of the average MSE, PSNR, and SSIM for the nine subimages, all evaluated on the original DN scale.

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