Results 41 to 50 of about 236,552 (310)
Reference Based Face Super-Resolution
Despite the great progress of image super-resolution in recent years, face super-resolution has still much room to explore good visual quality while preserving original facial attributes for larger up-scaling factors.
Zhi-Song Liu, Wan-Chi Siu, Yui-Lam Chan
doaj +1 more source
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
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
Real-Time analysis and visualization for single-molecule based super-resolution microscopy [PDF]
Accurate multidimensional localization of isolated fluorescent emitters is a time consuming process in single-molecule based super-resolution microscopy.
Choquet, Daniel +4 more
core +2 more sources
Atomic Super-Resolution Tomography [PDF]
16 pages, 5 ...
Poulami Somanya Ganguly +3 more
openaire +3 more sources
Structured illumination lensless digital holographic microscopy (SI-LDHM)
In 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
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Deep Neural Network for Image Super Resolution Driven by Prior Denoising
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
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4× Super‐resolution of unsupervised CT images based on GAN
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
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

