Results 41 to 50 of about 205,693 (258)
IEEE Access, 2021 Medical video is important for medical diagnosis. However, due to the influence of the network bandwidth and hardware equipment, some medical videos have low resolution, which is not conducive for diagnosing early diseases with small lesions.
Sheng Ren +3 more
doaj +1 more source
Light Field Super-Resolution Via Graph-Based Regularization
, 2017 Light field cameras capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post-capture refocus, to depth estimation and image-based rendering ...
Frossard, Pascal, Rossi, Mattia
core +1 more source
Near-Infrared Super Resolution Imaging with Metallic Nanoshell Particle Chain Array
, 2012 We propose a near-infrared super resolution imaging system without a lens or a mirror but with an array of metallic nanoshell particle chain. The imaging array can plasmonically transfer the near-field components of dipole sources in the incoherent and ...
BN Khlebtsova +24 more
core +1 more source
Atomic Super-Resolution Tomography [PDF]
, 2020 16 pages, 5 ...
Poulami Somanya Ganguly +3 more
openaire +3 more sources
Structured illumination lensless digital holographic microscopy (SI-LDHM)
Frontiers in PhysicsIn this work, we propose a structured-illumination lensless digital holographic microscopy (SI-LDHM). SI-LDHM illuminates a sample with 24 structured illuminations (8 orientations × 3 phase shifts) and records the defocused interferogram formed by two ...
Juanjuan Zheng +23 more
doaj +1 more source
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 +4 more
core +1 more source
Parallel super-resolution imaging [PDF]
Nature 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
Deep Neural Network for Image Super Resolution Driven by Prior Denoising
Nantong Daxue xuebao. Ziran kexue ban, 2021 In order to improve image super resolution, a double layer convolution neural network in image denoising is embedded in image restoration tasks. The image super resolution method driven by prior denoising with deep neural network is proposed.
CHENG Fanqiang;ZHU Yonggui;, ZHU Yonggui
doaj +1 more source
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
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Terrain Self-Similarity-Based Transformer for Generating Super Resolution DEMs
Remote Sensing, 2023 High-resolution digital elevation models (DEMs) are important for relevant geoscience research and practical applications. Compared with traditional hardware-based methods, super-resolution (SR) reconstruction techniques are currently low-cost and ...
Xin Zheng, Zelun Bao, Qian Yin
doaj +1 more source