Results 121 to 130 of about 1,764,639 (264)

Dual-Branch CNN–Mamba Method for Image Defocus Deblurring

open access: yesApplied Sciences
Defocus deblurring is a challenging task in the fields of computer vision and image processing. The irregularity of defocus blur kernels, coupled with the limitations of computational resources, poses significant difficulties for defocused image ...
Wenqi Zhao, Chunlei Wu, Jing Lu, Ran Li
doaj   +1 more source

Robust Multi‐Source Batch Normalisation for Test‐Time Batch Adaptation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Test‐Time Batch Adaptation (TTBA) aims to adapt a pre‐trained source model to small, unlabelled target batches at test time. The TTBA methods focus on adapting the pre‐trained model or the target data in a one‐to‐one alignment paradigm. However, these one‐to‐one alignment paradigms assume that the source domain may share the same knowledge ...
Xinlin Xiao   +3 more
wiley   +1 more source

Canonical Higher-Order Kernels for Density Derivative Estimation [PDF]

open access: yes
In this note we present r th order kernel density derivative estimators using canonical higher-order kernels. These canonical rescalings uncouple the choice of kernel and scale factor. This approach is useful for selection of the order of the kernel in a
Christopher F. Parmeter   +1 more
core  

Temperature Extraction Scheme for Composite Insulator Core Rod Sheath of Overhead Transmission Lines Based on Oriented Bounding Boxes

open access: yesHigh Voltage, EarlyView.
ABSTRACT Unmanned Aerial Vehicle (UAV) inspection of overhead transmission line composite insulators allows for the rapid acquisition of large amounts of infrared images of insulators in service, which can be used to analyse their operational status. However, efficiently and accurately analysing these images remains a challenge.
Zhenan Zhou   +7 more
wiley   +1 more source

Photoacoustic Imaging with a Finite-Size Circular Integrating Detector

open access: yesApplied Sciences
Photoacoustic imaging (PAI) has rapidly developed in biomedical imaging. The point spread function (PSF) is critical for addressing image blurring in PAI. However, in circular integrating detection systems, the PSF exhibits spatial variations. This makes
Shan Gao   +4 more
doaj   +1 more source

The prototype DynamiX camera system – a high‐frame‐rate high‐dynamic‐range hard X‐ray integrating detector for fourth‐generation synchrotrons

open access: yesJournal of Synchrotron Radiation, EarlyView.
This paper presents the first results from the DynamiX X‐ray imaging detector developed by the UK's Science and Technology Facilities Council for a new generation of photon light sources. Operating at a continuous frame rate of 534 kHz and with a per‐pixel per‐frame dynamic range of roughly five orders of magnitude, this work is the first step in ...
Simon Knowles   +25 more
wiley   +1 more source

Blind Remote Sensing Image Deblurring Based on Local Maximum High-Frequency Coefficient Prior and Graph Regularization

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In satellite remote sensing imaging, factors such as optical axis shift, image plane jitter, movement of the target object, and Earth's rotation can induce image blur.
Zhidan Cai   +4 more
doaj   +1 more source

TAXI, CHILLI AND MOBILE PARTY BRANCH: Reterritorialization of Migrants in Urban Villages, Shenzhen

open access: yesInternational Journal of Urban and Regional Research, EarlyView.
Abstract In China as well as in other countries, migrants often grapple with urban inequities by actively reshaping the functions and meanings of their environments. While acknowledging established frameworks such as place‐making and urban informality, this study adopts a complementary lens, framing migrants’ everyday practices as a process of ...
Xinrui Gao, Jennifer Day, Sun Sheng Han
wiley   +1 more source

Nonparametric Density Estimation for Positive Time Series [PDF]

open access: yes
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions have been put forward to solve this boundary problem. In this paper we propose
Jeroen V.K. Rombouts, Taoufik Bouezmarni
core  

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