Results 101 to 110 of about 2,688,199 (290)

BD-VITGAN: a blind dense VITGAN for satellite remote sensing images super-resolution reconstruction

Geo-spatial Information Science
High-resolution (HR) remote sensing images contain valuable information, and drone imagery typically offers higher resolution than satellite images. However, UAVs face challenges in cost and resource consumption when covering large areas.
Zeyuan Zhang, Wei Feng, Min Zhong, Meng Yang   +3 more
doaj   +1 more source

Feature-domain super-resolution for iris recognition

, 2013
Uncooperative iris identification systems at a distance suffer from poor resolution of the acquired iris images, which significantly degrades iris recognition performance.
Fookes, Clinton B., Sridharan, Sridha, Denman, Simon, Sridha Sridharan, Kien Nguyen, Simon Denman, Nguyen, Kien, Clinton Fookes   +7 more
core   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

A blind image super-resolution network guided by kernel estimation and structural prior knowledge

Scientific Reports
The goal of blind image super-resolution (BISR) is to recover the corresponding high-resolution image from a given low-resolution image with unknown degradation.
Jiajun Zhang, Yuanbo Zhou, Jiang Bi, Yuyang Xue, Wei Deng, Wenlin He, Tao Zhao, Kai Sun, Tong Tong, Qinquan Gao, Qing Zhang   +10 more
doaj   +1 more source

Image Super-Resolution with Adversarial Learning [PDF]

, 2022
Single-image super-resolution refers to the problem of generating a high-resolution image from a low-resolution one. In this work we address to the problem of single-image super-resolution of degraded low-resolution images.
Boem, Davide
core  

Review of Gastrointestinal Capsule Robots: Materials, Actuation, Diagnostics, and Therapeutics

Advanced Science, EarlyView.
This review examines gastrointestinal capsule robots through a systems engineering lens, covering shell materials, actuation and localization strategies, diagnostic modalities, therapeutic interventions, and commercialization status. By mapping the complete technological chain from fabrication to clinical deployment, this work identifies critical gaps ...
Zengsheng Li, Zhongguo Ren, Yiliang Lin, Xianfeng Xia, Tianlong Li, Kai Fung Chan, Philip Wai Yan Chiu, Wei Peng Yong, Mengmeng Sun   +8 more
wiley   +1 more source

Inf-OSRGAN: Optimized Blind Super-Resolution GAN for Infrared Images

Applied Sciences
With the widespread application of infrared technology in military, security, medical, and other fields, the demand for high-definition infrared images has been increasing.
Zhaofei Xu, Jie Gao, Xianghui Wang, Chong Kang   +3 more
doaj   +1 more source

From Blind deconvolution to Blind Super-Resolution through convex programming

CoRR, 2017
This paper discusses the recovery of an unknown signal $x\in \mathbb{R}^L$ through the result of its convolution with an unknown filter $h \in \mathbb{R}^L$. This problem, also known as blind deconvolution, has been studied extensively by the signal processing and applied mathematics communities, leading to a diversity of proofs and algorithms based on
openaire   +4 more sources

Multispectral UV Imaging on Capacitive CMOS Arrays Enabled by Solution‐Processed Metal‐Oxide Nanoparticles

Advanced Science, EarlyView.
Ultraviolet (UV) imagers are important for a variety of applications but often require dedicated semiconductor process flows. Here, a versatile capacitive CMOS platform is transformed into a visible‐blind, multispectral UV imager through post‐CMOS functionalization with solution‐processed metal‐oxide nanoparticles. The UV‐induced photodielectric effect
Suman Kundu, Tao Shen, Kai Betlem, Murali K. Ghatkesar, Peter G. Steeneken, Frans P. Widdershoven   +5 more
wiley   +1 more source

CN-BSRIQA: Cascaded network - blind super-resolution image quality assessment

Alexandria Engineering Journal
High resolution (HR) images consist of higher quality and more detail information in comparison to low-resolution images. But obtaining HR images entails higher costs and requires a larger workforce.
Mobeen Ur Rehman, Imran Fareed Nizami, Muhammad Majid, Farman Ullah, Irfan Hussain, Kil To Chong   +5 more
doaj   +1 more source