Papers with code in denoising

Papers with code in denoising

2D图像去噪

2D：https://github.com/wenbihan/reproducible-image-denoising-state-of-the-art

• A non-local algorithm for image denoising (CVPR 05), Buades et al.(cite:5873)
• Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (TIP 2006), Elad et al.(cite:5048)
• Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP2017), Zhang et al.(cite:2055)
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★HSI图像去噪

HSI：https://github.com/junjun-jiang/Hyperspectral-Image-Denoising-Benchmark

• [GCS and NSS and Tensor] Decomposable nonlocal tensor dictionary learning for multispectral image denoising, CVPR2014, P. Yi et al.
• [LR] Hyperspectral image restoration using low-rank matrix recovery, TGRS2014, H. Zhang et al.
• [LR] Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation, JStars2015, H. Zhang et al
• [LR] Hyperspectral image denoising via sparse representation and low-rank constraint, TGRS2015, Y. Zhao et al.(cite:242)
• [LR and GCS] Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation, JStars2015, H. Zhang et al.
• [GCS and NSS] Multispectral images denoising by intrinsic tensor sparsity regularization, CVPR2016, Q. Xie et al.
• [LR and Tensor] Hyper-Laplacian Regularized Unidirectional Low-rank Tensor Recovery for Multispectral Image Denoising, CVPR2017, Y. Chang et al
• [LR] Hyperspectral Image Restoration Using Low-Rank Representation on Spectral Difference Image, J-STARS2017, L. Sun et al.
• [LR] Hyperspectral Image Denoising with Superpixel Segmentation and Low-Rank Representation, INS2017, F. Fan et al.
• [Non-iid] Denoising Hyperspectral Image with Non-i.i.d. Noise Structure, IEEE TCYB2017, Y. Chen et al.
• [LR] Fast hyperspectral image denoising and inpainting based on low-rank and sparse representations, J-STARS2018, L. Zhuang et al.
• [LR and TV] A Novel Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising, ISPRS International Journal of Geo-Information, 2018, L. Sun et al.
• [LR] Fast Superpixel based Subspace Low Rank Learning Method for Hyperspectral Denoising. IEEE Access,2018, L. Sun et al.
• [DL] Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network, TGRS2018, Q. Yuan et al.
• [Tensor] Color Image and Multispectral Image Denoising Using Block Diagonal Representation, arXiv2019, Zhaoming Kong et al.
• [DL] Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution, arxiv2019, Oleksii Sidorov et al.
• [DL] Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network, IEEE TGRS 2019, Qiang Zhang et al.
• [DL] Deep Spatial-spectral Representation Learning for Hyperspectral Image Denoising, IEEE TCI 2019, Weisheng Dong et al.
• [DL] A Single Model CNN for Hyperspectral Image Denoising(2019)
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