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Super-Resolution in Phase Space [PDF]
This work considers the problem of super-resolution. The goal is to resolve a Dirac distribution from knowledge of its discrete, low-pass, Fourier measurements. Classically, such problems have been dealt with parameter estimation methods.
Bhandari, Ayush +2 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
Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network [PDF]
In many domestic and military applications, aerial vehicle detection and super-resolution algorithms are frequently developed and applied independently. However, aerial vehicle detection on super-resolved images remains a challenging task due to the lack
Moktari Mostofa +3 more
doaj +4 more sources
Super-resolution approach tailored for wafer transmission electron microscopy images [PDF]
High-resolution wafer transmission electron microscopy (TEM) images are essential for nano-level analysis in semiconductor manufacturing. Although super-resolution offers significant potential for obtaining high-resolution images, training super ...
Sungsu Kim +8 more
doaj +2 more sources
Image Super Resolution using Enhanced Super Resolution Generative Adversarial Network [PDF]
Aside from enhancing the accuracy and speed of single picture modification utilizing fast and in-depth convolutional emotional networks, one significant challenge remains mostly commonly unaddressed, namely how do we recover soft texture details when we ...
Sarode Raj +3 more
doaj +1 more source
Terahertz time-domain attenuated total reflection spectroscopy integrated with a microfluidic chip
The integration of a microfluidic chip into terahertz time-domain attenuated total reflection (THz TD-ATR) spectroscopy is highly demanded for the accurate measurement of aqueous samples.
Ying Fu +14 more
doaj +1 more source
Review of Image Super-resolution Reconstruction Algorithms Based on Deep Learning [PDF]
The essence of image super-resolution reconstruction technology is to break through the limitation of hardware conditions, and reconstruct a high-resolution image from a low-resolution image which contains less infor-mation through the image super ...
YANG Caidong, LI Chengyang, LI Zhongbo, XIE Yongqiang, SUN Fangwei, QI Jin
doaj +1 more source
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
Explorable Super Resolution [PDF]
Single image super resolution (SR) has seen major performance leaps in recent years. However, existing methods do not allow exploring the infinitely many plausible reconstructions that might have given rise to the observed low-resolution (LR) image. These different explanations to the LR image may dramatically vary in their textures and fine details ...
Yuval Bahat, Tomer Michaeli
openaire +2 more sources
The trans-Golgi network (TGN) serves as a platform to sort and transport proteins to their final destinations. Here the authors show that the TGN of Arabidopsis consists of spatially and temporally distinct subregions and propose that these zones may ...
Yutaro Shimizu +12 more
doaj +1 more source

