Results 41 to 50 of about 10,813,722 (307)

Parallel super-resolution imaging [PDF]

open access: yesNature Methods, 2013
Massive parallelization of scanning-based super-resolution imaging allows fast imaging of large fields of view.
Yew, Elijah Y S   +2 more
openaire   +4 more sources

Image Super-resolution Reconstruction Based on Sparse Representation and Guided Filtering [PDF]

open access: yesJisuanji gongcheng, 2018
In view of the fact that the image super-resolution reconstruction method cannot effectively reconstruct more high frequency image information in the process of image processing and storage,this paper proposes an image super-resolution reconstruction ...
ZHANG Wanxu,SHI Jianxiong,CHEN Xiaoxuan,WANG Lin,ZHAO Ming,ZHOU Yan,NIU Jinping
doaj   +1 more source

Joint Image Reconstruction and Super-Resolution for Accelerated Magnetic Resonance Imaging

open access: yesBioengineering, 2023
Magnetic resonance (MR) image reconstruction and super-resolution are two prominent techniques to restore high-quality images from undersampled or low-resolution k-space data to accelerate MR imaging. Combining undersampled and low-resolution acquisition
Wei Xu   +6 more
doaj   +1 more source

Process of image super-resolution

open access: yesCoRR, 2019
In this paper we explain a process of super-resolution reconstruction allowing to increase the resolution of an image.The need for high-resolution digital images exists in diverse domains, for example the medical and spatial domains. The obtaining of high-resolution digital images can be made at the time of the shooting, but it is often synonymic of ...
Sebastien Lablanche, Gerard Lablanche
openaire   +2 more sources

A dataset for real-world infrared image super-resolution

open access: yes, 2023
  Some of the real-world infrared image super resolution data set, the rest will be uploaded after the publication of the paper. 
Yicheng Zhou (14848888)
core   +1 more source

Volatile-Nonvolatile Memory Network for Progressive Image Super-Resolution

open access: yesIEEE Access, 2021
Single-image super-resolution, i.e., reconstructing a high-resolution image from a low-resolution image, is a critical concern in many computer vision applications. Recent deep learning-based image super-resolution methods employ massive numbers of model
Jun-Ho Choi   +3 more
doaj   +1 more source

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan   +3 more
wiley   +1 more source

Quantitative Assessment of Single-Image Super-Resolution in Myocardial Scar Imaging

open access: yesIEEE Journal of Translational Engineering in Health and Medicine, 2014
Single-image super resolution is a process of obtaining a high-resolution image from a set of low-resolution observations by signal processing. While super resolution has been demonstrated to improve image quality in scaled down images in the image ...
Hiroshi Ashikaga   +4 more
doaj   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Neuromorphic Imaging With Super-Resolution

open access: yesIEEE Transactions on Circuits and Systems for Video Technology
Neuromorphic imaging is an emerging technique that imitates the human retina to sense variations in dynamic scenes. It responds to pixel-level brightness changes by asynchronous streaming events and boasts microsecond temporal precision over a high dynamic range, yielding blur-free recordings under extreme illumination.
Pei Zhang   +4 more
openaire   +2 more sources

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