Results 11 to 20 of about 832,184 (281)
Photometric Depth Super-Resolution [PDF]
This study explores the use of photometric techniques (shape-from-shading and uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB-D sensor to the higher resolution of the companion RGB image. A single-shot variational
Cremers, Daniel +4 more
core +6 more sources
Super resolution for root imaging [PDF]
Premise High‐resolution cameras are very helpful for plant phenotyping as their images enable tasks such as target vs. background discrimination and the measurement and analysis of fine above‐ground plant attributes.
Jose F. Ruiz‐Munoz +4 more
doaj +4 more sources
Super-resolution Ultrasound Imaging [PDF]
Ultrasound in medicine & biology 46(4), 865-891 (2020).
Christensen-Jeffries, Kirsten +11 more
openaire +7 more sources
In this paper we study the identification of a time-varying linear system from its response to a known input signal. More specifically, we consider systems whose response to the input signal is given by a weighted superposition of delayed and Doppler shifted versions of the input.
Reinhard Heckel +2 more
openaire +3 more sources
IMPACT OF DEEP LEARNING-BASED SUPER-RESOLUTION ON BUILDING FOOTPRINT EXTRACTION [PDF]
Automated building footprints extraction from High Spatial Resolution (HSR) remote sensing images plays important roles in urban planning and management, and hazard and disease control. However, HSR images are not always available in practice.
H. He +9 more
doaj +1 more source
Multiple Frame Splicing and Degradation Learning for Hyperspectral Imagery Super-Resolution
Hyperspectral imagery (HSI) is an emerging remote sensing technology to discriminate different remote sensing objects. However, the HSI spatial resolution is relatively low due to the trade-off in restricted physical hardware and various imaging ...
Chenwei Deng, Xingshi Luo, Wenzheng Wang
doaj +1 more source
Variational Bayesian Super Resolution [PDF]
In this paper, we address the super resolution (SR) problem from a set of degraded low resolution (LR) images to obtain a high resolution (HR) image. Accurate estimation of the sub-pixel motion between the LR images significantly affects the performance of the reconstructed HR image. In this paper, we propose novel super resolution methods where the HR
S Derin, Babacan +2 more
openaire +2 more sources
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks [PDF]
Enhancing resolution is a permanent goal in magnetic resonance (MR) imaging, in order to keep improving diagnostic capability and registration methods.
Domínguez-Merino, Enrique +4 more
core +1 more source
Super-Resolution-Based Inpainting [PDF]
This paper introduces a new examplar-based inpainting framework. A coarse version of the input image is first inpainted by a non-parametric patch sampling. Compared to existing approaches, some improvements have been done (e.g. filling order computation, combination of K nearest neighbours).
Le Meur, Olivier, Guillemot, Christine
openaire +6 more sources
Regulation of ER-Golgi Transport Dynamics by GTPases in Budding Yeast
A large number of proteins are synthesized de novo in the endoplasmic reticulum (ER). They are transported through the Golgi apparatus and then delivered to their proper destinations.
Yasuyuki Suda +4 more
doaj +1 more source

