Super-resolution reconstruction of electrical impedance tomography images
Abstract Electrical Impedance Tomography (EIT) systems are becoming popular because
they present several advantages over competing systems. However, EIT leads to images …
they present several advantages over competing systems. However, EIT leads to images …
A new adaptive video super-resolution algorithm with improved robustness to innovations
In this paper, a new video super-resolution reconstruction (SRR) method with improved
robustness to outliers is proposed. Although the regularized least mean squares (R-LMSs) …
robustness to outliers is proposed. Although the regularized least mean squares (R-LMSs) …
Face video super resolution using deep convolutional neural network
AB Deshmukh, NU Rani - 2019 5th International Conference On …, 2019 - ieeexplore.ieee.org
In video surveillance, low resolution in face recognition is a major problem. Various Super
Resolution (SR) approaches are introduced to perform the high resolution of face video …
Resolution (SR) approaches are introduced to perform the high resolution of face video …
Robust online video super-resolution using an efficient alternating projections scheme
RA Borsoi - Signal Processing, 2020 - Elsevier
Video super-resolution reconstruction (SRR) algorithms attempt to reconstruct high-
resolution (HR) video sequences from low-resolution observations. Although recent …
resolution (HR) video sequences from low-resolution observations. Although recent …
Optimization-driven kernel and deep convolutional neural network for multi-view face video super resolution
AB Deshmukh, NU Rani - International Journal of Digital Crime and …, 2020 - igi-global.com
One of the major challenges faced by video surveillance is recognition from low-resolution
videos or person identification. Image enhancement methods play a significant role in …
videos or person identification. Image enhancement methods play a significant role in …