Zobrazeno 1 - 10
of 17 237
pro vyhledávání: '"sparse representation"'
Publikováno v:
Tongxin xuebao, Vol 45, Pp 223-234 (2024)
Focusing on the issue that millimeter-wave radar was difficult to accurately estimate the vital signs of multiple moving targets in complex indoor scenes, a multi-target vital sign estimation method based on sparse representation under complex scenes
Externí odkaz:
https://doaj.org/article/0ba882fdc07e415c8185e5eed358cfae
Publikováno v:
PeerJ, Vol 12, p e17774 (2024)
The adoption and growth of functional magnetic resonance imaging (fMRI) technology, especially through the use of Pearson’s correlation (PC) for constructing brain functional networks (BFN), has significantly advanced brain disease diagnostics by u
Externí odkaz:
https://doaj.org/article/3e099d2a22ad4c7eb1bff37b9083a3db
Autor:
Zhouyu Zhang, Chenyuan He, Hai Wang, Yingfeng Cai, Long Chen, Zhihua Gan, Fenghua Huang, Yiqun Zhang
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 6, Pp 102090- (2024)
Infrared and visible image fusion is an effective solution for image quality enhancement. However, conventional fusion models require the decomposition of source images into image blocks, which disrupts the original structure of the images, leading t
Externí odkaz:
https://doaj.org/article/a6a71ffb4524421b81f19008f83f0398
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
ObjectiveSWI image signal is related to venous reflux disorder and perfusion defect. Computed tomography perfusion (CTP) contains perfusion information in space and time. There is a complementary basis between them to affect the prognosis of cerebral
Externí odkaz:
https://doaj.org/article/993c614a24af4d909a3e1300e49ecb16
Autor:
Lianhe Cui
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 5, Pp 102083- (2024)
One of the crucial pre-processing stages in data mining and machine learning is feature selection, which is used to choose a subset of representative characteristics and decrease dimensions. By eliminating unnecessary and redundant features, feature
Externí odkaz:
https://doaj.org/article/460407d55e074984b72d7b1c9a968477
Publikováno v:
مهندسی مخابرات جنوب, Vol 11, Iss 43, Pp 27-38 (2024)
Classification of hyperspectral images is one of the most important processes on these images. Hyperspectral images are high dimensional, so classification of these images is difficult. Therefore, methods that extract low-dimensional subspace structu
Externí odkaz:
https://doaj.org/article/191960cad93c446b88d8cffc6234c625
Autor:
Miyoun Jung
Publikováno v:
AIMS Mathematics, Vol 9, Iss 3, Pp 6013-6040 (2024)
In this article, we propose a novel group-based sparse representation (GSR) model for restoring color images in the presence of multiplicative noise. This model consists of a convex data-fidelity term, and two regularizations including GSR and satura
Externí odkaz:
https://doaj.org/article/03cf38802a6d44928ce965b9526561b7
Publikováno v:
IET Image Processing, Vol 18, Iss 3, Pp 741-760 (2024)
Abstract Image restoration, as a fundamental research topic of image processing, is to reconstruct the original image from degraded signal using the prior knowledge of image. Group sparse representation (GSR) is powerful for image restoration; it how
Externí odkaz:
https://doaj.org/article/ce76a71e4c4d458093e0e89ffd2663cc
Publikováno v:
IEEE Access, Vol 12, Pp 141116-141129 (2024)
A Scene-Based Nonuniformity Correction (SBNUC) approach is proposed for the correction of fixed-pattern-noise (FPN) in infrared image arrays. This method diverges from conventional neural-network based techniques by eschewing spatial filters for the
Externí odkaz:
https://doaj.org/article/99a08612387f4b7cb24b00f535b363d5
Publikováno v:
IEEE Access, Vol 12, Pp 90418-90431 (2024)
Compressed sensing theory is widely used to accurately reconstruct the original signal from a small number of random observations, i.e., obtain high-dimensional information from low-dimensional information. This feature has shown effectiveness in ima
Externí odkaz:
https://doaj.org/article/031637c6e94f44ef95232beda1d07021