Deep learning-based models have achieved remarkable performance in video super-resolution (VSR) in recent years, but most of these models are less applicable to online video applications. These methods solely consider the distortion quality and ignore crucial requirements for online a...
Fast Online Video Super-Resolution with Deformable Attention Pyramid Dario Fuoli1 Martin Danelljan1 Radu Timofte1,2 Luc Van Gool1,3 1Computer Vision Lab, ETH Zu¨rich, Switzerland 2CAIDAS, University of Wu¨rzburg, Germany 3KU Leuven, Belgium {dario.fuoli, m...
The online adaptation circuit forms training pairs, and calculates an update to representative features that characterize the input LR frames using the training pairs. Each training pair formed by one of the input LR frames and one of the HR frames. The AI SR circuit receives the input LR ...
Online image processingMulti-frame super-resolution recovers a high-resolution (HR) image from a sequence of low-resolution (LR) images. In this paper, we propose an algorithm that performs multi-frame super-resolution in...doi:10.1186/s13640-018-0376-5Jieping Xu...
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In this paper we present a new method for multi-frame deconvolution called online blind deconvolution (OBD) that overcomes all these limitations simultaneously. Encouraging results on simulated and real astronomical images demonstrate that OBD yields deblurred images of comparable and often better quality...
Although recent progress in video SRR has significantly improved the quality of the reconstructed HR sequences, it remains challenging to design SRR algorithms that achieve good quality and robustness at a small computational complexity, being thus suitable for online applications. In this paper, we ...
Super-resolution microscopes provide unprecedented resolution and insights into the molecular landscape. Nikon offers a range of super-resolution systems for high-speed imaging applications and single-molecule level imaging needs.
DOIhttps://doi.org/10.1007/978-3-031-02243-2_7 Publisher NameSpringer, Cham Print ISBN978-3-031-01115-3 Online ISBN978-3-031-02243-2 eBook PackagesSynthesis Collection of Technology (R0)eBColl Synthesis Collection 1 Publish with us
Online. Available online: https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-741490.html (accessed on 16 November 2022). Teed, Z.; Deng, J. Raft: Recurrent all-pairs field transforms for optical flow. In Proceedings of the ...