Zobrazeno 1 - 10
of 2 203
pro vyhledávání: '"image 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:
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:
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:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18577-18592 (2024)
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. The unavailability of the image fuzzy kernel makes the necessity for blind remote
Externí odkaz:
https://doaj.org/article/224186a988eb40e9984f5e24c9eaf206
Publikováno v:
IEEE Access, Vol 12, Pp 117285-117297 (2024)
The 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. Traditional deblurring methodologies are often confronted with the challenge of maint
Externí odkaz:
https://doaj.org/article/1bce058b763042ee8cda5576eaa38876
Publikováno v:
IEEE Access, Vol 12, Pp 12745-12759 (2024)
Image deblurring is one of the fundamental tasks in image processing tasks, which can provide the necessary support for advanced tasks such as image recognition. In this paper, we propose a new deblurring model, named Efftformer model, which is speci
Externí odkaz:
https://doaj.org/article/d705ccf3dc1b48538d8af70dd474a0e8
Publikováno v:
Journal of Imaging, Vol 10, Iss 11, p 274 (2024)
Motion blur is a common problem in the field of surveillance scenarios, and it obstructs the acquisition of valuable information. Thanks to the success of deep learning, a sequence of CNN-based architecture has been designed for image deblurring and
Externí odkaz:
https://doaj.org/article/c75f268176054641a0326c6a62a94175
Publikováno v:
Sensors, Vol 24, Iss 20, p 6545 (2024)
The motion of an object or camera platform makes the acquired image blurred. This degradation is a major reason to obtain a poor-quality image from an imaging sensor. Therefore, developing an efficient deep-learning-based image processing method to r
Externí odkaz:
https://doaj.org/article/5fe450badd444188b6950d3914100913