Results 91 to 100 of about 15,742 (208)
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 +4 more
wiley +1 more source
IEEE AccessThe task of image deblurring is a complex and ill-posed inverse problem, which endeavors to restore a high-fidelity image from its degraded and blurred counterpart.
Yongqun Tan, Lingli Zhang, Yu Chen
doaj +1 more source
A combined first and second order variational approach for image reconstruction
, 2013 In this paper we study a variational problem in the space of functions of bounded Hessian. Our model constitutes a straightforward higher-order extension of the well known ROF functional (total variation minimisation) to which we add a non-smooth second ...
A. Bertozzi +70 more
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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 +6 more
wiley +1 more source
, 2010 As a powerful statistical image modeling technique, sparse representation has been successfully used in various image restoration applications. The success of sparse representation owes to the development of l1-norm optimization techniques, and the fact ...
Dong, Weisheng +3 more
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Deblurring Multispectral Laparoscopic Images
, 2014 Multispectral imaging is an optical modality that can provide real-time in vivo information about tissue characteristics and function through signal sensitivity to chromophores in the tissue. In this paper, we present a deblurring strategy that enables imaging of dynamic tissues at wavelengths where the required acquisition time can cause significant ...
Geoffrey Jones +4 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
SID: Sensor-Assisted Image Deblurring System for Mobile Devices
IEEE Access, 2019 Handheld mobile photography is often affected by motion blur due to the difficulty of keeping the camera's stable. The existing processing method is usually a high-cost deblurring process of a computer, which seriously affects the user experience, and ...
Qing Wang +4 more
doaj +1 more source
Turbulent image deblurring using a deblurred blur kernel
Journal of OpticsAbstract In the context of addressing a noisy turbulence-degraded image, it is common to use a denoising low-pass filter before implementing a deblurring algorithm. However, this filter not only suppresses noise but also induces a certain degree of blur into the degraded image.
Lizhen Duan, Libo Zhong, Jianlin Zhang
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IET Image Processing, Volume 20, Issue 1, January/December 2026.This paper proposes a low‐light image enhancement and denoising algorithm tailored for tunnel scenes based on computer vision and deep learning technologies. On this basis, a tunnel pedestrian detection method based on connected domain dynamic threshold segmentation is designed, which can reduce the computational resources for identifying pedestrian ...
Yudan Tian +4 more
wiley +1 more source