Image super-resolution: The techniques, applications, and future
Super-resolution (SR) technique reconstructs a higher-resolution image or sequence from
the observed LR images. As SR has been developed for more than three decades, both …
the observed LR images. As SR has been developed for more than three decades, both …
Super-resolution: a comprehensive survey
K Nasrollahi, TB Moeslund - Machine vision and applications, 2014 - Springer
Super-resolution, the process of obtaining one or more high-resolution images from one or
more low-resolution observations, has been a very attractive research topic over the last two …
more low-resolution observations, has been a very attractive research topic over the last two …
Soft-edge assisted network for single image super-resolution
The task of single image super-resolution (SISR) is a highly ill-posed inverse problem since
reconstructing the high-frequency details from a low-resolution image is challenging. Most …
reconstructing the high-frequency details from a low-resolution image is challenging. Most …
Hyperspectral image denoising employing a spectral–spatial adaptive total variation model
The amount of noise included in a hyperspectral image limits its application and has a
negative impact on hyperspectral image classification, unmixing, target detection, and so on …
negative impact on hyperspectral image classification, unmixing, target detection, and so on …
Deepsum: Deep neural network for super-resolution of unregistered multitemporal images
Recently, convolutional neural networks (CNNs) have been successfully applied to many
remote sensing problems. However, deep learning techniques for multi-image super …
remote sensing problems. However, deep learning techniques for multi-image super …
An augmented Lagrangian method for total variation video restoration
SH Chan, R Khoshabeh, KB Gibson… - … on Image Processing, 2011 - ieeexplore.ieee.org
This paper presents a fast algorithm for restoring video sequences. The proposed algorithm,
as opposed to existing methods, does not consider video restoration as a sequence of …
as opposed to existing methods, does not consider video restoration as a sequence of …
A super-resolution reconstruction algorithm for surveillance images
In many surveillance video applications, it is of interest to recognize a region of interest
(ROI), which often occupies a small portion of a low-resolution, noisy video. This paper …
(ROI), which often occupies a small portion of a low-resolution, noisy video. This paper …
3d backscatter localization for {Fine-Grained} robotics
This paper presents the design and implementation of TurboTrack, a 3D localization system
for fine-grained robotic tasks. TurboTrack's unique capability is that it can localize …
for fine-grained robotic tasks. TurboTrack's unique capability is that it can localize …
Variational Bayesian super resolution
SD Babacan, R Molina… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
In this paper, we address the super resolution (SR) problem from a set of degraded low
resolution (LR) images to obtain a high resolution (HR) image. Accurate estimation of the …
resolution (LR) images to obtain a high resolution (HR) image. Accurate estimation of the …