Results 71 to 80 of about 2,688,199 (290)
Unsupervised image blind super resolution via real degradation feature learning
In recent years, many methods for image super‐resolution (SR) have relied on pairs of low‐resolution (LR) and high‐resolution (HR) images for training, where the degradation process is predefined by bicubic downsampling.
Cheng Yang, Guanming Lu
doaj +1 more source
A Critical Call for Mechanistic Investigations of Metal‐Bacteria Interactions
It is well established that the antibacterial properties of metals have tremendous importance for bioengineering applications. What is not as appreciated, however, is the reproducibility crisis in this field's vast literature. In this perspective, we highlight this reproducibility problem, discuss its sources, and suggest solutions towards focused ...
J. Rackwitz +9 more
wiley +1 more source
Degradation-Oriented Adaptive Network for Blind Super-Resolution
Most of the super-resolution methods based on deep neural networks use a fixed image degradation model. However, when the real image degradation is inconsistent with the model assumptions, the performance of the network will be severely reduced. To address this issue, we propose a degradation-oriented adaptive network (DOANet), which can be used to ...
Shuo Wang, Lifang Chen
openaire +2 more sources
<p>Super-resolution correlator is package for data processing in super-resolution microscopy. It contains a intuitive GUI and high perfomant GPU based visualization and algorithms for 2D and 3D data.<br> Main features:</p> <ul> &
Reinhard, Sebastian +1 more
core +1 more source
Synchronized Ablation of Multifocal Tumors Enabled by Multi‐Channel Lanthanide Nanocomposites
A multi‐channel lanthanide nanocomposite enables orthogonal monitoring of tumor pH, glutathione, and temperature to guide customized therapy. Real‐time luminescence readouts determine a single irradiation protocol that synchronizes drug release and photothermal treatment, allowing efficient ablation of multifocal tumors while minimizing overtreatment ...
Fang Li +6 more
wiley +1 more source
Overview of techniques applicable to self-interference incoherent digital holography [PDF]
Self-interference incoherent digital holography (SIDH) retrieves the complex hologram from the object illuminated by the incoherent light. Supported by the adaptive optic feature, SIDH is readily applicable to the ocular imaging to investigate the human ...
Hong J., Kim M. K.
doaj +1 more source
Federated Learning for Blind Image Super-Resolution
Traditional blind image SR methods need to model real-world degradations precisely. Consequently, current research struggles with this dilemma by assuming idealized degradations, which leads to limited applicability to actual user data. Moreover, the ideal scenario - training models on data from the targeted user base - presents significant privacy ...
Brian B. Moser +4 more
openaire +3 more sources
In this study, we show that retinal matrix stiffness is increased in diabetic mice. Using engineered human vascular models with controlled matrix stiffness, we demonstrate that stiffening activates focal adhesion kinase (FAK) signaling in pericytes, suppresses Notch signaling, and disrupts vascular morphology.
Emily Warren +6 more
wiley +1 more source
The Image Sequence Blind Super-resolution Algorithm
:In this paper, a new image sequences blind super-resolution algorithm was proposed to reduce the influence on super-resolution construction caused by point spread function estimation error.
Zhang Xiao-Lin, He Xiao-Hai
doaj
Multi-Frame Super-Resolution of Gaofen-4 Remote Sensing Images
Gaofen-4 is China’s first geosynchronous orbit high-definition optical imaging satellite with extremely high temporal resolution. The features of staring imaging and high temporal resolution enable the super-resolution of multiple images of the same ...
Jieping Xu +3 more
doaj +1 more source

