Results 91 to 100 of about 14,030 (199)

ESFFA: Early‐Stage Feature Frequency Attack in Cross‐Domain Few‐Shot Learning

IET Computer Vision, Volume 20, Issue 1, January/December 2026.
This paper addresses the challenge of cross‐domain few‐shot learning (CD‐FSL), where models often rely on frequency shortcuts rather than semantic features. We propose ESFFA (Early‐Stage Feature Frequency Attack), a novel method that perturbs low‐frequency statistics and masks high‐frequency components in shallow feature maps to reduce shortcut ...
Xu Wang, Ziyang Cao, Jia Zhao, Huiling Wang, Yingzhou Chen   +4 more
wiley   +1 more source

Integrating Digital Twins, Data Management and Artificial Intelligence for Predictive Maintenance in Aviation: A Comprehensive Review

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
This study provides a comprehensive review of predictive maintenance in aviation, emphasising the integration of digital twin technology, engineering data management and AI algorithms. It highlights how data‐driven approaches enhance safety, reduce costs and improve aircraft reliability through real‐time monitoring, fault detection and remaining useful
Saber Mehdipour, Ali Habibzadeh, Nima Esmi, Paria Heravi, Mahdiyeh Mirsaraee, Asadollah Shahbahrami, Zeinab Javanmardi   +6 more
wiley   +1 more source

Blind Deblurring of Hyperspectral Document Images

, 2022
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101026453. This work is published in the Lecture Notes in Computer Science book series (LNCS, volume 13373) as part of the Image Analysis and Processing, ICIAP 2022 ...
Marina Ljubenovic, Paolo Guzzonato, Giulia Franceschin, Arianna Traviglia   +3 more
openaire   +2 more sources

Enhancing convolutional neural network generalizability via low‐rank weight approximation

IET Image Processing, Volume 20, Issue 1, January/December 2026.
A self‐supervised framework is proposed for image denoising based on the Tucker low‐rank tensor approximation. With the proposed design, we are able to characterize our denoiser with fewer parameters and train it based on a single image, which considerably improves the model's generalizability and reduces the cost of data acquisition. Abstract Noise is
Chenyin Gao, Shu Yang, Anru R. Zhang
wiley   +1 more source

Blind and Non-Blind Deconvolution-Based Image Deblurring Techniques for Blurred and Noisy Image

Tikrit Journal of Engineering Sciences
: Image deblurring is a common issue in low-level computer vision aiming to restore a clear image from a blurred input image. Deep learning innovations have significantly advanced the solution to this issue, and numerous deblurring networks have been ...
Shayma Wail Nourildean
doaj   +1 more source

Single Image Defocus Deblurring Based on Structural Information Enhancement

IEEE Access
Defocus deblurring is an important task in computer vision that aims to bring images back to clarity. Over recent years, both blind defocuse deblurring and non-blind defocuse deblurring methods have made great progress in the single image defocus ...
Guangming Feng, Longfei Han, Yiwen Jia, Peiliang Huang   +3 more
doaj   +1 more source

Learning to Deblur Polarized Images

International Journal of Computer Vision
A polarization camera can capture four linear polarized images with different polarizer angles in a single shot, which is useful in polarization-based vision applications since the degree of linear polarization (DoLP) and the angle of linear polarization (AoLP) can be directly computed from the captured polarized images.
Chu Zhou, Minggui Teng, Xinyu Zhou, Chao Xu 0006, Imari Sato, Boxin Shi   +5 more
openaire   +2 more sources

Blind UAV Images Deblurring Based on Discriminative Networks

Sensors, 2018
Unmanned aerial vehicles (UAVs) have become an important technology for acquiring high-resolution remote sensing images. Because most space optical imaging systems of UAVs work in environments affected by vibrations, the optical axis motion and image ...
Ruihua Wang, Guorui Ma, Qianqing Qin, Qiang Shi, Juntao Huang   +4 more
doaj   +1 more source

Patch-Wise Blind Image Deblurring Via Michelson Channel Prior

IEEE Access, 2019
Motion blur exists in many computer vision tasks, including faces, texts, and low-illumination images etc. It has been proved that Dark Channel Prior (DCP) and Bright Channel Prior (BCP) can both help the image deblurring by enhancing the dark or bright ...
Guoquan Wen, Chao Min, Zeyun Jiang, Zhaozhong Yang, Xiaogang Li   +4 more
doaj   +1 more source

A Novel Fractional-Order Non-Convex TV^α,p Model in Image Deblurring

Fractal and Fractional
In this paper, we propose a non-convex model with fractional-order applied to image deblurring problems. In the new model, fractional-order gradients have been introduced to preserve detailed features, and a source term with a blurry kernel is used for ...
Bao Chen, Xiaohua Ding, Yuchao Tang
doaj   +1 more source