Results 101 to 110 of about 83,395 (347)
Deep Learning Based Single Image Super Resolution
, 2020 This paper talks about single image super resolution with deep learning based solution.
Harsh Vaghela (8654676)
core +1 more source
Guided Dual Networks for Single Image Super-Resolution
IEEE Access, 2020 The PSNR-oriented super-resolution (SR) methods pursue high reconstruction accuracy, but tend to produce over-smoothed results and lose plenty of high-frequency details.
Wenhui Chen +5 more
doaj +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Super-resolution single-photon imaging at 8.2 kilometers
Optics Express, 2020 Single-photon light detection and ranging (LiDAR), offering single-photon sensitivity and picosecond time resolution, has been widely adopted for active imaging applications. Long-range active imaging is a great challenge, because the spatial resolution degrades significantly with the imaging range due to the diffraction limit of the optics, and only ...
Zheng-Ping Li +8 more
openaire +3 more sources
Extremely Lightweight Quantization Robust Real-Time Single-Image Super\n Resolution for Mobile Devices [PDF]
, 2021 Mustafa Ayazoğlu
openalex +1 more source
Nuclear pore links Fob1‐dependent rDNA damage relocation to lifespan control
FEBS Open Bio, EarlyView.Damaged rDNA accumulates at a specific perinuclear interface that couples nucleolar escape with nuclear envelope association. Nuclear pores at this site help inhibit Fob1‐induced rDNA instability. This spatial organization of damage handling supports a functional link between nuclear architecture, rDNA stability, and replicative lifespan in yeast.
Yamato Okada +5 more
wiley +1 more source
Image Super-resolution Reconstruction of Functional Composite Deep Network
Jisuanji kexue yu tansuo, 2020 Aiming at the problems of weak inter-layer connections, single network concerns and insufficient utilization of layered features in the existing single-image super-resolution reconstruction using simple chain-stacked single network, a composite depth ...
TANG Jiajun, LIU Hui, HU Xueying
doaj +1 more source
FEBS Open Bio, EarlyView.Enzymes of the 2‐hydroxyacyl‐CoA lyase group catalyze the condensation of formyl‐CoA with aldehydes or ketones. Thus, by structural adaptation of active sites, practically any pharmaceutically and industrially important 2‐hydroxyacid could be biotechnologically synthesized. Combining crystal structure analysis, active site mutations and kinetic assays,
Michael Zahn +4 more
wiley +1 more source
, 2019 Existing SISR (single image super-resolution) methods mostly assume that a low-resolution (LR) image is bicubicly down-sampled from its high-resolution (HR) counterpart, which inevitably give rise to poor performance when the degradation is out of ...
Jianwen Chen +9 more
core +1 more source
Fast Single Image Super-Resolution.
CoRR, 2015 This paper addresses the problem of single image super-resolution (SR), which consists of recovering a high resolution image from its blurred, decimated and noisy version. The existing algorithms for single image SR use different strategies to handle the decimation and blurring operators.
Ningning Zhao +4 more
openaire +3 more sources