Results 91 to 100 of about 10,359,966 (377)

Cross‐scale resolution consistent network for salient object detection

IET Image Processing
The salient object detection task tries to simulate the human visual system for most eye‐catching objects or regions detection. However, due to the complexity of the visual mechanisms, current methods will suffer from severe performance degradation ...
Xiaoyu Huang, Wei Liu, Minghui Li, Hangyu Nie   +3 more
doaj   +1 more source

Estimation of Ultrasound Echogenicity Map from B-Mode Images Using Convolutional Neural Network

Sensors, 2020
In ultrasound B-mode imaging, speckle noises decrease the accuracy of estimation of tissue echogenicity of imaged targets from the amplitude of the echo signals.
Che-Chou Shen, Jui-En Yang
doaj   +1 more source

Hyperspectral pan-sharpening: a variational convex constrained formulation to impose parallel level lines, solved with ADMM

, 2014
In this paper, we address the issue of hyperspectral pan-sharpening, which consists in fusing a (low spatial resolution) hyperspectral image HX and a (high spatial resolution) panchromatic image P to obtain a high spatial resolution hyperspectral image ...
de Vieilleville, François, Grizonnet, Manuel, Huck, Alexis, Weiss, Pierre   +3 more
core   +1 more source

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

FEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang, Naoki Sunagawa, Toma Kashima, Kiyohiko Igarashi, Akimasa Miyanaga, Shinya Fushinobu   +5 more
wiley   +1 more source

Super‐resolution reconstruction algorithm for medical images by fusion of wavelet transform and multi‐scale adaptive feature selection

IET Image Processing
Conventional computed tomography (CT) images often suffer from blurred edges and unclear details. Image super‐resolution methods can significantly enhance CT image quality, thereby improving diagnostic accuracy.
QiaoSu Wang, Qiaomei Ma
doaj   +1 more source

Ultra-High-Resolution Optical Remote Sensing Satellite Identification of Pine-Wood-Nematode-Infected Trees

Plants
The pine wood nematode (PWN), one of the globally significant forest diseases, has driven the demand for precise detection methods. Recent advances in satellite remote sensing technology, particularly ultra-high-resolution optical imagery, have opened ...
Ziqi Nie, Lin Qin, Peng Xing, Xuelian Meng, Xianjin Meng, Kaitong Qin, Changwei Wang   +6 more
doaj   +1 more source

Imaging algorithm for multi-channel scan synthetic aperture radar with channel error estimation and compensation

The Journal of Engineering, 2019
The wide swath synthetic aperture radar (SAR) imaging with a fine resolution is fundamentally a contradiction in conventional SAR imaging. To meet the demand of high-resolution width swath (HRWS) imaging, multi-channel scan mode has received a great deal
Feng Xiao, Zegang Ding, Meng Ke
doaj   +1 more source

Homeland security video surveillance system utilising the internet of video things for smart cities

IET Computers & Digital Techniques, 2021
In the contemporary video surveillance system, there have been many efforts made to maintain high security and extend the coverage areas in most of the countries around the world.
Yasser Ismail, Mohamed Hammad, Mahmoud Darwich, Wael Elmedany   +3 more
doaj   +1 more source

Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution

, 2016
In this work, we consider the image super-resolution (SR) problem. The main challenge of image SR is to recover high-frequency details of a low-resolution (LR) image that are important for human perception.
Feng, Jiashi, Guo, Zongming, Liu, Jiaying, Yan, Shuicheng, Yang, Jianchao, Yang, Wenhan, Zhao, Fang   +6 more
core   +1 more source

The role and implications of mammalian cellular circadian entrainment

FEBS Letters, EarlyView.
At their most fundamental level, mammalian circadian rhythms occur inside every individual cell. To tell the correct time, cells must align (or ‘entrain’) their circadian rhythm to the external environment. In this review, we highlight how cells entrain to the major circadian cues of light, feeding and temperature, and the implications this has for our
Priya Crosby
wiley   +1 more source