Results 61 to 70 of about 2,688,199 (290)

Blind Single-Image Super-Resolution Reconstruction Based on Motion Blur

, 2011
Blind image super-resolution reconstruction is one of the hot and difficult problem in image processing. a framework of blind single-image super-resolution reconstruction algorithm is proposed. In the low-resolution imaging model, the processes of motion
Li Hong Zhu, Ying De You, Li Lan Cao, Feng Qing Qin, Zhong Li   +4 more
core   +1 more source

Self‐Powered, Ultra‐Sensitive InGaAs/ITO Nanowire Radial Junction Infrared Photodiode for Low Flux Imaging at Room Temperature

Advanced Functional Materials, EarlyView.
This study reports a self‐powered InGaAs nanowire photodetector achieving single‐photon‐level sensitivity in the shortwave infrared at non‐cryogenic temperatures. The device demonstrates high‐speed imaging capabilities even under extremely low‐flux conditions.
Kosala Dhanawansha, Chaohao Chen, Zhe Li, Tuomas Haggren, Dawei Liu, Yang Yu, Baolei Liu, Sanjay Krishna, Hark H. Tan, Chennupati Jagadish, Lan Fu   +10 more
wiley   +1 more source

Degradation-Guided Meta-Restoration Network for Blind Super-Resolution

, 2022
Blind super-resolution (SR) aims to recover high-quality visual textures from a low-resolution (LR) image, which is usually degraded by down-sampling blur kernels and additive noises.
Yang, Fuzhi, Lu, Hongtao, Fu, Jianlong, Yang, Huan, Zeng, Yanhong   +4 more
core  

Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications

Advanced Functional Materials, EarlyView.
Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So, Sunwoo Jeong, Youngmin Han, Fabrizio Torricelli, Hocheon Yoo, Junhwan Choi   +5 more
wiley   +1 more source

Pressure‐Assisted Drug Delivery Using High‐Pressure Balloon Platform Improves Vascular Drug Penetration and Anti‐Restenotic Effects

Advanced Healthcare Materials, EarlyView.
A dual‐layer high‐pressure drug‐coated balloon (HP@DCB) increased balloon‐wall contact and promoted deeper paclitaxel (PTX) penetration than a conventional noncompliant DCB. In in vivo study, HP@DCB treatment improved luminal patency and reduced neointimal hyperplasia, supporting pressure‐assisted drug delivery as a promising strategy for enhancing the
Seung Jin Eo, So Yun Lim, Dong‐Sung Won, Ji Won Kim, Yubeen Park, Song Hee Kim, Hyemin Lee, Jung‐Min Ahn, Jun‐Kyu Park, Do‐Yoon Kang, Jung‐Hoon Park   +10 more
wiley   +1 more source

Blind Image Super-Resolution with Spatial Context Hallucination

CoRR, 2020
Deep convolution neural networks (CNNs) play a critical role in single image super-resolution (SISR) since the amazing improvement of high performance computing. However, most of the super-resolution (SR) methods only focus on recovering bicubic degradation.
Dong Huo, Yee-Hong Yang
openaire   +2 more sources

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Comparative Study of Stable Diffusion-Based Super-Resolution Methods for Remote Sensing Imagery [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Remote sensing image super-resolution aims to recover fine structural and textural details from degraded low-resolution observations. However, conventional methods and early deep learning models often produce over-smoothed results and struggle to ...
Y. Lu, Y. Lu, H. He, H. He, H. He, F. Zhu, F. Zhu, J. Li, J. Li, J. Li   +9 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source