Results 51 to 60 of about 83,395 (347)
Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks
Remote Sensing, 2020 Convolutional Neural Networks (CNNs) consistently proved state-of-the-art results in image Super-resolution (SR), representing an exceptional opportunity for the remote sensing field to extract further information and knowledge from captured data ...
Francesco Salvetti +3 more
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4× Super‐resolution of unsupervised CT images based on GAN
IET Image Processing, 2023 Improving the resolution of computed tomography (CT) medical images can help doctors more accurately identify lesions, which is important in clinical diagnosis.
Yunhe Li +3 more
doaj +1 more source
MSISR-STF: Spatiotemporal Fusion via Multilevel Single-Image Super-Resolution
, 2023 Due to technological limitations and budget constraints, spatiotemporal image fusion uses the complementarity of high temporal–low spatial resolution (HTLS) and high spatial–low temporal resolution (HSLT) data to obtain high temporal and ...
Junqing Fan +5 more
core +1 more source
SENext: Squeeze-and-ExcitationNext for Single Image Super-Resolution
IEEE Access, 2022 Recent research on image and video processing using convolutional neural networks has shown remarkable improvements, especially in the area of single image super-resolution(SISR). The primary target of SISR is to recover the visually appealing high-resolution (HR) output image from the original degraded low-resolution (LR) input image.
Wazir Muhammad +2 more
openaire +2 more sources
Single Image Super Resolution Using Deep Residual Learning
AISingle Image Super Resolution (SSIR) is an intriguing research topic in computer vision where the goal is to create high-resolution images from low-resolution ones using innovative techniques.
Moiz Hassan +2 more
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A Single-Frame Super-Resolution Innovative Approach
, 2007 Super-resolution refers to the process of obtaining a high resolution image from one or more low resolution images. In this work, we present a novel method for the super-resolution problem for the limited case, where only one image of low resolution is ...
Luz A. Torres-Méndez +5 more
core +1 more source
, 2021 Femtosecond X-ray pulse lasers are promising probes for elucidating the multi-conformational states of biomolecules because they enable snapshots of single biomolecules to be observed as coherent diffraction images.
Yoshinobu, Akinaga +3 more
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Local semi-supervised regression for single-image super-resolution
, 2011 In this paper, we propose a local semi-supervised learning-based algorithm for single-image super-resolution. Different from most of example-based algorithms, the information of test patches is considered during learning local regression functions which ...
Xiaoli Pan +17 more
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Single image super resolution with high resolution dictionary
, 2011 Image super resolution (SR) is a technique to estimate or synthesize a high resolution (HR) image from one or several low resolution (LR) images. This paper proposes a novel framework for single image super resolution based on sparse representation with ...
TaoDacheng +5 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 +2 more
doaj +1 more source