mlsanityData to 7 Oct 2026

Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution

arXiv 1902.00301 ↗First posted 1 Feb 2019cs.CVcited by 36

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Abstract (arXiv)

Deep learning algorithms have demonstrated state-of-the-art performance in various tasks of image restoration. This was made possible through the ability of CNNs to learn from large exemplar sets. However, the latter becomes an issue for hyperspectral image processing where datasets commonly consist of just a few images. In this work, we propose a new approach to denoising, inpainting, and super-resolution of hyperspectral image data using intrinsic properties of a CNN without any training. The performance of the given algorithm is shown to be comparable to the performance of trained networks, while its application is not restricted by the availability of training data. This work is an extension of original "deep prior" algorithm to HSI domain and 3D-convolutional networks.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Feb 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 3; 2023: 8; 2024: 6; 2025: 7; 2026: 6.

36 papers.

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  1. 2024HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Modelscited by 38
  2. 2023Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoisingcited by 35
  3. 2022Spatial-Spectral Transformer for Hyperspectral Image Denoisingcited by 34
  4. 2023DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restorationcited by 32
  5. 2021Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priorscited by 12
  6. 2021Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstructioncited by 12
  7. 2021Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusioncited by 11
  8. 2024PromptHSI: Universal Hyperspectral Image Restoration with Vision-Language Modulated Frequency Adaptationcited by 6
  9. 2024Equivariant Imaging for Self-supervised Hyperspectral Image Inpaintingcited by 5
  10. 2024OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problemscited by 5
  11. 2025Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstructioncited by 4
  12. 2026HADAR-Based Thermal Infrared Hyperspectral Image Restorationcited by 4
24 more
  1. 2021Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimizationcited by 2
  2. 2023Learning to Recover Spectral Reflectance from RGB Imagescited by 2
  3. 2024EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolutioncited by 2
  4. 2025Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Reviewcited by 2
  5. 2021Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settingscited by 1
  6. 2021From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolutioncited by 1
  7. 2022Mixture-Net: Low-Rank Deep Image Prior Inspired by Mixture Models for Spectral Image Recoverycited by 1
  8. 2023Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Priorcited by 1
  9. 2023Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerationscited by 1
  10. 2025Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Modelscited by 1
  11. 2025Multispectral Demosaicing via Dual Camerascited by 1
  12. 2025GEWDiff: Geometric Enhanced Wavelet-based Diffusion Model for Hyperspectral Image Super-resolutioncited by 1
  13. 2026SHARE: A Fully Unsupervised Framework for Single Hyperspectral Image Restorationcited by 1
  14. 2026Leveraging pretrained RGB denoisers for hyperspectral image restorationcited by 1
  15. 2022Mask-Guided Image Person Removal with Data Synthesiscited by 0
  16. 2023Guided Deep Generative Model-based Spatial Regularization for Multiband Imaging Inverse Problemscited by 0
  17. 2023Neural Gradient Regularizercited by 0
  18. 2023Hyperspectral Image Denoising via Self-Modulating Convolutional Neural Networkscited by 0
  19. 2024UnmixingSR: Material-aware Network with Unsupervised Unmixing as Auxiliary Task for Hyperspectral Image Super-resolutioncited by 0
  20. 2025Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformitycited by 0
  21. 2025A TRPCA-Inspired Deep Unfolding Network for Hyperspectral Image Denoising via Thresholded t-SVD and Top-K Sparse Transformercited by 0
  22. 2026Preventing Overfitting in Deep Image Prior for Hyperspectral Image Denoisingcited by 0
  23. 2026HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generationcited by 0
  24. 2026Hyperspectral Diffusion Equivariant Imaging (HyDiff-EI): A Self-supervised Framework for Hyperspectral Image Inpaintingcited by 0