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Nov 6, 2023 · The Group Sparse Representation (GSR) model shows excellent potential in various image restoration tasks. In this study, we propose a novel Multi-Scale ...
Apr 25, 2024 · Frequently used prior features in this domain include local smoothness, sparsity, non-local self-similarity, and external statistical priors. In particular, non ...
Dec 1, 2023 · State-of-the-art model-based image denoising methods mostly exploit non-local self-similarity (NLSS) prior which refers to the fact that a local patch often has ...
4 days ago · An iterative dual-branch FSR framework (SANet) incorporating self-similarity information exploration and attention aggregation is proposed.
Jul 15, 2024 · The proposed framework simultaneously cooperates with the spectral low-rankness prior and deep spatial prior (SLRP-DSP) for HSI self-supervised denoising.
Aug 20, 2023 · (HSI) denoising first uses non-local self-similarity (NSS) prior to group similar full-band patches into three-dimensional non- local full-band groups ...
Aug 16, 2023 · This method im- poses unpaired constraints on the generator, which captures more prior information and improves the quality of syn- thetic noisy images. A ...
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Dec 15, 2023 · In this work, we suggest as an alternative to add a description of the scene as prior, which can be easily done by the photographer who is capturing the scene.
Missing: group external
Oct 9, 2023 · Patch group based nonlocal self-similarity prior learning for image denoising. ... Image denoising by sparse 3-D transform-domain collaborative filtering.