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20182025
most citedDegradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising

5 citations · 12 across the 7 of their papers we have counts for

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cs.CV2025

Improving Novel view synthesis of 360 Scenes in Extremely Sparse Views by Jointly Training Hemisphere Sampled Synthetic Images

Guangan Chen, Anh Minh Truong, Hanhe Lin +3

Novel view synthesis in 360 scenes from extremely sparse input views is essential for applications like virtual reality and augmented reality. This paper presents a novel f…

cs.CV20251 cited

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

Jens De Winne, Siri Willems, Siri Luthman +3

Accurate, real-time monitoring of tissue ischemia is crucial to understand tissue health and guide surgery. Spectral imaging shows great potential for contactless and intraoperativ…

cs.CV20231 cited

Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor

Haijin Zeng, Kai Feng, Jiezhang Cao +5

Pixel binning based Quad sensors have emerged as a promising solution to overcome the hardware limitations of compact cameras in low-light imaging. However, binning results in lowe…

cs.CV2022

Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising

Haijin Zeng, Shaoguang Huang, Yongyong Chen +2

Spatial-Spectral Total Variation (SSTV) can quantify local smoothness of image structures, so it is widely used in hyperspectral image (HSI) processing tasks. Essentially, SSTV ass…

cs.CV2018

Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization

Joris Roels, Jan Aelterman, Jonas De Vylder +3

Microscopy is one of the most essential imaging techniques in life sciences. High-quality images are required in order to solve (potentially life-saving) biomedical research proble…