Results 61 to 70 of about 388,321 (273)

Fast and simple super-resolution with single images

Scientific Reports, 2022
AbstractWe present a fast and simple algorithm for super-resolution with single images. It is based on penalized least squares regression and exploits the tensor structure of two-dimensional convolution. A ridge penalty and a difference penalty are combined; the former removes singularities, while the latter eliminates ringing. We exploit the conjugate
Eilers, Paul H. C., Ruckebusch, Cyril
openaire   +4 more sources

Enhanced Deep Residual Networks for Single Image Super-Resolution

, 2017
Recent research on super-resolution has progressed with the development of deep convolutional neural networks (DCNN). In particular, residual learning techniques exhibit improved performance.
Kim, Heewon, Lee, Kyoung Mu, Lim, Bee, Nah, Seungjun, Son, Sanghyun   +4 more
core   +1 more source

Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks

, 2018
Magnetic resonance image (MRI) in high spatial resolution provides detailed anatomical information and is often necessary for accurate quantitative analysis.
Chen, Yuhua, Christodoulou, Anthony G, IEEE, Li, Debiao, Shi, Feng, Xie, Yibin, Zhou, Zhengwei   +6 more
core   +2 more sources

A Very Deep Spatial Transformer Towards Robust Single Image Super-Resolution

IEEE Access, 2019
In general, existing research on single image super-resolution does not consider the practical application that, when image transmission is over noisy channels, the effect of any possible geometric transformations could incur significant quality loss and
Jianmin Jiang, Hossam M. Kasem, Kwok-Wai Hung   +2 more
doaj   +1 more source

Arbitrary Scale Super-Resolution Neural Network Based on Residual Channel-Spatial Attention

IEEE Access, 2022
In recent years, the performance of convolutional neural networks in single-image super-resolution has improved significantly. However, most state-of-the-art models address the super-resolution problem for specific scale factors.
Javier Gurrola-Ramos, Teresa E. Alarcon, Oscar Dalmau   +2 more
doaj   +1 more source

Communication and Language Profiles of Children Treated for Posterior Fossa Brain Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cognitive and language deficits are frequently reported sequelae of posterior fossa brain tumors (PFBT). Typically, delayed onset impedes prompt assessment and early intervention. This has devastating implications for quality of life.
Zara Sved, Meghan Hesse, Jennie Cusiter, Annabel Webb, Kimberley Docking   +4 more
wiley   +1 more source

Seven ways to improve example-based single image super resolution

, 2015
In this paper we present seven techniques that everybody should know to improve example-based single image super resolution (SR): 1) augmentation of data, 2) use of large dictionaries with efficient search structures, 3) cascading, 4) image self ...
Rothe, Rasmus, Timofte, Radu, Van Gool, Luc   +2 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

SBHSR: single-band super-resolution method for hyperspectral images based on blind degradation and fusion of auxiliary band

Geocarto International
Despite natural image super-resolution (SR) methods have achieved great success, super-resolution methods for hyperspectral image (HSI) with rich spectral features are still a very challenging task.
Lijing Bu, Xi Xiao, Zhengpeng Zhang, Deng Mingjun   +3 more
doaj   +1 more source

SREFBN: Enhanced feature block network for single‐image super‐resolution

IET Image Processing, 2022
Deep learning has assisted the field of single‐image super‐resolution (SR) in achieving new heights. However, the task of restoring a high‐resolution (HR) image from a highly degraded low‐resolution (LR) image is sophisticated due to poor image ...
Vachiraporn Ketsoi, Muhammad Raza, Haopeng Chen, Xubo Yang   +3 more
doaj   +1 more source