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Review of image interpolation and super-resolution
Image/video interpolations and super-resolution are topics of great interest. Their
applications include HDTV, image coding, image resizing, image manipulation, face …
applications include HDTV, image coding, image resizing, image manipulation, face …
Multi-memory convolutional neural network for video super-resolution
Video super-resolution (SR) is focused on reconstructing high-resolution frames from
consecutive low-resolution (LR) frames. Most previous video SR methods based on …
consecutive low-resolution (LR) frames. Most previous video SR methods based on …
A progressive fusion generative adversarial network for realistic and consistent video super-resolution
How to effectively fuse temporal information from consecutive frames remains to be a non-
trivial problem in video super-resolution (SR), since most existing fusion strategies (direct …
trivial problem in video super-resolution (SR), since most existing fusion strategies (direct …
Multi-temporal ultra dense memory network for video super-resolution
Video super-resolution (SR) aims to reconstruct the corresponding high-resolution (HR)
frames from consecutive low-resolution (LR) frames. It is crucial for video SR to harness both …
frames from consecutive low-resolution (LR) frames. It is crucial for video SR to harness both …
MDCN: Multi-scale dense cross network for image super-resolution
Convolutional neural networks have been proven to be of great benefit for single-image
super-resolution (SISR). However, previous works do not make full use of multi-scale …
super-resolution (SISR). However, previous works do not make full use of multi-scale …
Wavelet-based dual recursive network for image super-resolution
J ** a local least-squares support vector machines-based neuro-fuzzy model for nonlinear and chaotic time series prediction
Local modeling approaches, owing to their ability to model different operating regimes of
nonlinear systems and processes by independent local models, seem appealing for …
nonlinear systems and processes by independent local models, seem appealing for …
Robust soft-decision interpolation using weighted least squares
Soft-decision adaptive interpolation (SAI) provides a powerful framework for image
interpolation. The robustness of SAI can be further improved by using weighted least …
interpolation. The robustness of SAI can be further improved by using weighted least …
Progressive image denoising through hybrid graph Laplacian regularization: A unified framework
Recovering images from corrupted observations is necessary for many real-world
applications. In this paper, we propose a unified framework to perform progressive image …
applications. In this paper, we propose a unified framework to perform progressive image …