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
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