Zobrazeno 1 - 10
of 8 203
pro vyhledávání: '"Deblurring"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 5, Pp 1280-1288 (2024)
In this paper, in order to reduce the energy leakage caused by the discretized representation in sparse channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems, we systematically have analyzed the optimal locations of atoms w
Externí odkaz:
https://doaj.org/article/0030810940874184b52158cfc8972906
Publikováno v:
Partial Differential Equations in Applied Mathematics, Vol 11, Iss , Pp 100827- (2024)
Image deblurring (ID) plays a vital role in various applications, including photography, medical imaging, and surveillance. Traditional ID methods often face challenges in preserving fine details and handling complex blurring scenarios due to expensi
Externí odkaz:
https://doaj.org/article/370d7c04f1394a12bf225cddfe1659a3
Publikováno v:
Havacılık ve Uzay Teknolojileri Dergisi, Vol 17, Iss Special Issue, Pp 102-115 (2024)
Blurring is a significant concern in electro-optical satellite imagery due to its negative effect on image quality, which is caused by an undesirable loss of bandwidth.Blurred images and compromised image quality may result from atmospheric distortio
Externí odkaz:
https://doaj.org/article/a24c6992c4bf45fba779dd3b9080ff92
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract Motion blur can easily affect the quality of QR code image, making it difficult to recognize QR codes on moving objects. This paper proposes an algorithm for the recognition of motion-blurred QR codes based on generative adversarial network
Externí odkaz:
https://doaj.org/article/8f687f50b71243d48d652551ff0ba61f
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 3, Pp 553-573 (2024)
With the rapid development of generative adversarial networks, many image restoration problems that are difficult to solve based on traditional methods have gained new research approaches. With its powerful generation ability, generative adversarial
Externí odkaz:
https://doaj.org/article/1317aaf95c184146b258da775ba315ac
Publikováno v:
Egyptian Informatics Journal, Vol 28, Iss , Pp 100568- (2024)
To address the issues of poor robustness and weak generalization in existing infrared image deblurring methods, a fuzzy operator-based algorithm is proposed to solve the fuzzy imaging in dragon boat races. The experiment showed that the models traine
Externí odkaz:
https://doaj.org/article/19c55a2eb78e4e4f968949275fa574a5
Publikováno v:
Applied Mathematics in Science and Engineering, Vol 32, Iss 1 (2024)
The Inertial Tseng Algorithm (ITA) and the Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) are well-established methods that provide effective ways to approximate zeros of the sum of monotone operators. In this study, we applied both ITA and
Externí odkaz:
https://doaj.org/article/e8e1f451a8684c2db44a0ceda66387bb
Publikováno v:
Frontiers in Ophthalmology, Vol 4 (2024)
Fundus cameras are widely used by ophthalmologists for monitoring and diagnosing retinal pathologies. Unfortunately, no optical system is perfect, and the visibility of retinal images can be greatly degraded due to the presence of problematic illumin
Externí odkaz:
https://doaj.org/article/09c5727dd75f4622872267a67636531c
Publikováno v:
Defence Technology, Vol 32, Iss , Pp 159-172 (2024)
The rotary motion deblurring is an inevitable procedure when the imaging seeker is mounted in the rotating missiles. Traditional rotary motion deblurring methods suffer from ringing artifacts and noise, especially for large blur extents. To solve the
Externí odkaz:
https://doaj.org/article/8d2f2d78c5464ed8afc43251f4b88c8b