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 …
A survey of deep learning approaches to image restoration
In this paper, we present an extensive review on deep learning methods for image
restoration tasks. Deep learning techniques, led by convolutional neural networks, have …
restoration tasks. Deep learning techniques, led by convolutional neural networks, have …
Super-resolution of human face image using canonical correlation analysis
Super-resolution reconstruction of face image is the problem of reconstructing a high
resolution face image from one or more low resolution face images. Assuming that high and …
resolution face image from one or more low resolution face images. Assuming that high and …
Paradigm shifts in super-resolution techniques for remote sensing applications
Super-resolution (SR) algorithms have now become a bottleneck for several remote sensing
applications. SR is a technique that enhances minute details of the image by increasing …
applications. SR is a technique that enhances minute details of the image by increasing …
Super-resolution of retinal images using multi-kernel SVR for IoT healthcare applications
J Jebadurai, JD Peter - Future Generation Computer Systems, 2018 - Elsevier
Abstract Internet of Things (IoT) healthcare is one of the most popular areas of research due
to the rapid development in information and communication technologies. IoT system …
to the rapid development in information and communication technologies. IoT system …
Evaluating super-resolution reconstruction of satellite images
Super-resolution reconstruction (SRR) consists in enhancing image spatial resolution given
a single image or a bunch of images presenting the same scene at lower resolution …
a single image or a bunch of images presenting the same scene at lower resolution …
System and method for deep learning image super resolution
M El-Khamy, J Lee, H Ren - US Patent 10,489,887, 2019 - Google Patents
In a method for super resolution imaging, the method includes: receiving, by a processor, a
low resolution image; generating, by the processor, an intermediate high resolution image …
low resolution image; generating, by the processor, an intermediate high resolution image …
Extracting a good quality frontal face image from a low-resolution video sequence
K Nasrollahi, TB Moeslund - … on circuits and systems for video …, 2011 - ieeexplore.ieee.org
Feeding low-resolution and low-quality images, from inexpensive surveillance cameras, to
systems like, eg, face recognition, produces erroneous and unstable results. Therefore …
systems like, eg, face recognition, produces erroneous and unstable results. Therefore …
Superresolution imaging: a survey of current techniques
Imaging plays a key role in many diverse areas of application, such as astronomy, remote
sensing, microscopy, and tomography. Owing to imperfections of measuring devices (eg …
sensing, microscopy, and tomography. Owing to imperfections of measuring devices (eg …
Morphable model space based face super-resolution reconstruction and recognition
D Zhang, J He, M Du - Image and Vision Computing, 2012 - Elsevier
Super-resolution image reconstruction is the process of producing a high-resolution image
from a set of low-resolution images of the same scene. For the applications of performing …
from a set of low-resolution images of the same scene. For the applications of performing …