Robust video denoising with sparse and dense noise modelings
Sign Up to like & getrecommendations! Published in 2017 at "Science China Information Sciences"
DOI: 10.1007/s11432-017-9200-6
Abstract: Videos can be contaminated by noise even when captured by high-quality cameras. Because video data has both spatial and temporal redundancies, low rank factorization has been developed. Originally, most denoising methods relied on a single… read more here.
Keywords: video denoising; low rank; noise; rank matrix ... See more keywords
Unsupervised Adaptive Deep Learning Framework for Video Denoising in Light Scattering Imaging.
Sign Up to like & getrecommendations! Published in 2025 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.4c06905
Abstract: Light scattering is a powerful tool that has been widely applied in various scenarios, such as nanoparticle analysis, single-cell measurement, and blood flow monitoring. However, noise is always a concerning and challenging issue in light… read more here.
Keywords: deep learning; light scattering; framework; unsupervised adaptive ... See more keywords
VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2865684
Abstract: Techniques exploiting the sparsity of images in a transform domain are effective for various applications in image and video processing. In particular, transform learning methods involve cheap computations and have been demonstrated to perform well… read more here.
Keywords: video; video denoising; transform learning; online video ... See more keywords
Exploring Video Denoising in Thermal Infrared Imaging: Physics-Inspired Noise Generator, Dataset, and Model
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3390404
Abstract: We endeavor on a rarely explored task named thermal infrared video denoising. Perception in the thermal infrared significantly enhances the capabilities of machine vision. Nonetheless, noise in imaging systems is one of the factors that… read more here.
Keywords: video; dataset; thermal infrared; physics inspired ... See more keywords
Multi-Scale Spatio-Temporal Memory Network for Lightweight Video Denoising
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3444315
Abstract: Deep learning-based video denoising methods have achieved great performance improvements in recent years. However, the expensive computational cost arising from sophisticated network design has severely limited their applications in real-world scenarios. To address this practical… read more here.
Keywords: video; temporal memory; network; spatio temporal ... See more keywords
Offset flow-guide transformer network for semisupervised real-world video denoising
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.33.1.013029
Abstract: Abstract. Video denoising is a fundamental task in low-level computer vision. Most existing denoising algorithms use synthetic data learning. However, there is a significant difference between the noise distributions of synthetic and natural data, which… read more here.
Keywords: flow guide; offset flow; video denoising; guide transformer ... See more keywords