Results 51 to 60 of about 10,359,966 (377)

Resolution limits of quantum ghost imaging [PDF]

open access: yes, 2018
Quantum ghost imaging uses photon pairs produced from parametric downconversion to enable an alternative method of image acquisition. Information from either one of the photons does not yield an image, but an image can be obtained by harnessing the ...
Aspden, Reuben S.   +7 more
core   +1 more source

Super-resolution image transfer by a vortex-like metamaterial [PDF]

open access: yes, 2013
We propose a vortex-like metamaterial device that is capable of transferring image along a spiral route without losing subwavelength information of the image. The super-resolution image can be guided and magnified at the same time with one single design.
Cui, Tie Jun   +3 more
core   +2 more sources

Method for high-resolution SAR imaging based on inverse radon transform

open access: yesThe Journal of Engineering, 2019
The influence of high-frequency platform vibration needs to be considered in the synthetic aperture radar (SAR) signal processing, especially at the case that the carrier frequency is in high frequency band.
Zhaofa Wang, Yong Wang, Liang Xu
doaj   +1 more source

PixColor: Pixel Recursive Colorization

open access: yes, 2017
We propose a novel approach to automatically produce multiple colorized versions of a grayscale image. Our method results from the observation that the task of automated colorization is relatively easy given a low-resolution version of the color image ...
Bieber, David   +5 more
core   +1 more source

Leveraging a Vision Transformer and Adversarial Unsupervised Domain Adaptation to Generate the NIR Band on Out-of-Domain VHR RGB

open access: yesIEEE Access
The accessibility of very-high-resolution Remote Sensing (RS) near-infrared (NIR) imagery before the 2010s is limited. In addition, public annotated image datasets often used as benchmarks contain only RGB information.
Viktoria Kristollari   +1 more
doaj   +1 more source

Deep Learning for Image Super-Resolution: A Survey [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Image Super-Resolution (SR) is an important class of image processing techniqueso enhance the resolution of images and videos in computer vision. Recent years have witnessed remarkable progress of image super-resolution using deep learning techniques ...
Zhihao Wang, Jian Chen, S. Hoi
semanticscholar   +1 more source

Enhancement of Image Resolution by Binarization

open access: yes, 2011
Image segmentation is one of the principal approaches of image processing. The choice of the most appropriate Binarization algorithm for each case proved to be a very interesting procedure itself.
Kanrar, Soumen, Mukherjee, Aroop
core   +1 more source

Self Super-Resolution for Magnetic Resonance Images using Deep Networks

open access: yes, 2018
High resolution magnetic resonance~(MR) imaging~(MRI) is desirable in many clinical applications, however, there is a trade-off between resolution, speed of acquisition, and noise.
Carass, Aaron   +3 more
core   +1 more source

A coarse to fine network for fast and accurate object detection in high‐resolution images

open access: yesIET Computer Vision, 2021
Because of the popularisation of high‐resolution images, detecting objects in these images quickly and accurately has attracted increasing attention in recent studies.
Yaguang Guo, Qi Zou, Lu Jin
doaj   +1 more source

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis   +13 more
wiley   +1 more source

Home - About - Disclaimer - Privacy