AI Paper Atlas

Research map / Image generation / Image restoration

Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising

CVPR 2023 · Image generation › Image restoration · approach: Pansharpening and spectral fusion · 132 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add spectral enhancement to rectangle attention (ablation)SERT · ICVL, random Gaussian noisePSNR: 42.06 -> 42.54Helped
Add spectral shuffle to rectangle attention and spectral enhancement (ablation)SERT · ICVL, random Gaussian noisePSNR: 42.54 -> 42.60Helped
Add memory unit to rectangle attention, spectral enhancement, and spectral shuffle (ablation)SERT · ICVL, random Gaussian noisePSNR: 42.60 -> 42.82Helped
Use global SE over the whole HSI instead of non-local SE over neighboring rectangles (ablation)SERT · ICVL, random Gaussian noisePSNR: 42.82 -> 42.04Hurt
Use local SE within each rectangle instead of non-local SE over neighboring rectangles (ablation)SERT · ICVL, random Gaussian noisePSNR: 42.82 -> 42.60Hurt
Use SERT instead of QRNN3DHSI denoising · ICVL, Gaussian+MixturePSNR: 39.08 -> 40.00Helped
Use SERT instead of MAC-NetHSI denoising · Realistic dataset, 15 real noisy HSIsPSNR: 29.20 -> 29.68Helped
Use longer rectangle lengths (ablation)SERT · ICVL, random Gaussian noisePSNRMixed

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy