Research map / Learning theory and algorithms / Matrix and tensor methods
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| integrate global spectral low-rank projection with non-local reduced-image denoising | NGmeet · CAVE, PaC, and WDC at σ=10, 30, 50, and 100 | PSNR: CAVE σ=10: 47.14 -> 47.87; PaC σ=10: 41.95 -> 43.17; WDC σ=100: 29.88 -> 31.45 | Helped |
| update spectral dimension K with δ=1 instead of δ=0 (ablation) | NGmeet · PaC, σ₀²=10, 30, 50, and 100 | PSNR: 43.09 -> 43.52; 36.49 -> 36.96; 33.54 -> 34.23; 29.91 -> 30.56 | Helped |
| vary the K-update parameter δ (ablation) | NGmeet · PaC, σ₀²=10, 30, 50, and 100 | PSNR: 43.09; 43.52; 43.43; 43.42; 36.49; 36.96; 37.02; 37.11; 33.54; 34.23; 34.21; 34.42; 29.91; 30.56; 30.83; 30.45 | Mixed |
Closest papers by meaning
- HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models (CVPR 2024 · similarity 0.88)
- Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising (CVPR 2024 · similarity 0.88)
- EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution (AAAI 2025 · similarity 0.86)
- S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for Hyperspectral Image Super-resolution (AAAI 2024 · similarity 0.86)
- Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery (AAAI 2025 · similarity 0.85)
- LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift (NeurIPS 2026 · similarity 0.85)
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