{"total":22,"rows":[{"id":"2209.08240","title":"Deep Plug-and-Play Prior for Hyperspectral Image Restoration","created":"2022-09-17","cited_by_count":22,"area":null},{"id":"2109.08879","title":"FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal","created":"2021-09-18","cited_by_count":19,"area":null},{"id":"2303.09040","title":"Hybrid Spectral Denoising Transformer with Guided Attention","created":"2023-03-16","cited_by_count":16,"area":null},{"id":"2308.04682","title":"Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising","created":"2023-08-09","cited_by_count":15,"area":null},{"id":"2211.01825","title":"Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation","created":"2022-11-03","cited_by_count":14,"area":null},{"id":"2102.12310","title":"Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors","created":"2021-02-24","cited_by_count":12,"area":null},{"id":"2301.11525","title":"Mixed Attention Network for Hyperspectral Image Denoising","created":"2023-01-27","cited_by_count":8,"area":null},{"id":"2304.08990","title":"A Comparison of Image Denoising Methods","created":"2023-04-18","cited_by_count":7,"area":null},{"id":"2511.17196","title":"Real Noise Decoupling for Hyperspectral Image Denoising","created":"2025-11-21","cited_by_count":7,"area":null},{"id":"2401.03885","title":"Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer","created":"2023-12-31","cited_by_count":6,"area":null},{"id":"2301.06132","title":"Deep Diversity-Enhanced Feature Representation of Hyperspectral Images","created":"2023-01-15","cited_by_count":5,"area":null},{"id":"2305.04047","title":"Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising","created":"2023-05-06","cited_by_count":5,"area":null},{"id":"2407.06064","title":"Pan-denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation","created":"2024-07-08","cited_by_count":5,"area":null},{"id":"2203.15901","title":"Connections between Deep Equilibrium and Sparse Representation Models with Application to Hyperspectral Image Denoising","created":"2022-03-29","cited_by_count":4,"area":null},{"id":"2406.08782","title":"Hybrid Spatial-spectral Neural Network for Hyperspectral Image Denoising","created":"2024-06-13","cited_by_count":2,"area":null},{"id":"2407.08509","title":"Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration","created":"2024-07-11","cited_by_count":1,"area":null},{"id":"2509.07654","title":"Beyond Motion Cues and Structural Sparsity: Revisiting Small Moving Target Detection","created":"2025-09-09","cited_by_count":1,"area":null},{"id":"2111.12406","title":"Auto robust relative radiometric normalization via latent change noise modelling","created":"2021-11-24","cited_by_count":0,"area":null},{"id":"2207.04266","title":"Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising","created":"2022-07-09","cited_by_count":0,"area":null},{"id":"2306.17797","title":"HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising","created":"2023-06-20","cited_by_count":0,"area":null},{"id":"2508.10307","title":"Efficient Image Denoising Using Global and Local Circulant Representation","created":"2025-08-14","cited_by_count":0,"area":null},{"id":"2605.13581","title":"HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation","created":"2026-05-13","cited_by_count":0,"area":null}],"next_cursor":null}