mlsanityData to 7 Oct 2026

Progressive Content-aware Coded Hyperspectral Compressive Imaging

arXiv 2303.09773 ↗First posted 17 Mar 2023eess.IV cs.CVcited by 6

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Abstract (arXiv)

Hyperspectral imaging plays a pivotal role in a wide range of applications, like remote sensing, medicine, and cytology. By acquiring 3D hyperspectral images (HSIs) via 2D sensors, the coded aperture snapshot spectral imaging (CASSI) has achieved great success due to its hardware-friendly implementation and fast imaging speed. However, for some less spectrally sparse scenes, single snapshot and unreasonable coded aperture design tend to make HSI recovery more ill-posed and yield poor spatial and spectral fidelity. In this paper, we propose a novel Progressive Content-Aware CASSI framework, dubbed PCA-CASSI, which captures HSIs with multiple optimized content-aware coded apertures and fuses all the snapshots for reconstruction progressively. Simultaneously, by mapping the Range-Null space Decomposition (RND) into a deep network with several phases, an RND-HRNet is proposed for HSI recovery. Each recovery phase can fully exploit the hidden physical information in the coded apertures via explicit R-N decomposition and explore the spatial-spectral correlation by dual transformer blocks. Our method is validated to surpass other state-of-the-art methods on both multiple- and single-shot HSI imaging tasks by large margins.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 22 of its 72 references that are in the map. First posted on arXiv 17 Mar 2023.

Builds on

22 of 72 references.

References · 22

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  3. 2021SwinIR: Image Restoration Using Swin Transformercited by 1,869
  4. 2022Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Modelcited by 574
  5. 2022Deep Generalized Unfolding Networks for Image Restorationcited by 119
  6. 2021Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstructioncited by 110
  7. 2018Rank Minimization for Snapshot Compressive Imagingcited by 99
  8. 2021Equivariant Imaging: Learning Beyond the Range Spacecited by 83
  9. 2020Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imagingcited by 78
  10. 2022MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstructioncited by 72
  11. 2022Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstructioncited by 67
  12. 2022HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imagingcited by 66
10 more
  1. 2022Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imagingcited by 66
  2. 2021Deep Gaussian Scale Mixture Prior for Spectral Compressive Imagingcited by 58
  3. 2021Self-supervised Neural Networks for Spectral Snapshot Compressive Imagingcited by 35
  4. 2021Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imagingcited by 31
  5. 2021HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imagingcited by 26
  6. 2019Deep Decomposition Learning for Inverse Imaging Problemscited by 25
  7. 2022GAN Prior based Null-Space Learning for Consistent Super-Resolutioncited by 22
  8. 2022Content-aware Scalable Deep Compressed Sensingcited by 21
  9. 2014Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimizationcited by 13
  10. 2020Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modelingcited by 10

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Cited by year

Citing papers per year: 2023: 5; 2024: 1.

6 papers.

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  3. 2023DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancementcited by 8
  4. 2023Self-Supervised Scalable Deep Compressed Sensingcited by 8
  5. 2024Perspective-Equivariance for Unsupervised Imaging with Camera Geometrycited by 5
  6. 2023MLP-AMDC: An MLP Architecture for Adaptive-Mask-based Dual-Camera snapshot hyperspectral imagingcited by 1