Zobrazeno 1 - 10
of 4 539
pro vyhledávání: '"Non local-means"'
Autor:
Apeksha Pandey, Manepalli Sai Teja, Parul Sahare, Vipin Kamble, Mayur Parate, Mohammad Farukh Hashmi
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract Skin conditions are becoming increasingly prevalent across the world in current times. With the rise in dermatological disorders, there is a need for computerized techniques that are completely noninvasive to patients’ skin. As a result, d
Externí odkaz:
https://doaj.org/article/d050d11f0bd4424190ac072f4fc16601
Publikováno v:
Contributions to Geophysics and Geodesy, Vol 54, Iss 2, Pp 119-143 (2024)
Enhancing the detection accuracy of the edges of the geological features within the subsurface remains a significant objective in geophysical data interpretation. Despite numerous advancements, approaches stemming from the directional gradients of gr
Externí odkaz:
https://doaj.org/article/30e24b822141492a95928e4317aca0f5
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
Synthetic Aperture Radar (SAR) imagery finds widespread applications across engineering disciplines, encompassing vegetation surveys, biomass estimation, and weather-related investigations. However, two significant challenges hinder SAR image analysi
Externí odkaz:
https://doaj.org/article/d9f17346a2b0490a87cfd7bf0b9b5ba4
Autor:
Pingping Bing, Wei Liu, Zhixing Zhai, Jianghao Li, Zhiqun Guo, Yanrui Xiang, Binsheng He, Lemei Zhu
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
BackgroundElectrocardiogram (ECG) signals are inevitably contaminated with various kinds of noises during acquisition and transmission. The presence of noises may produce the inappropriate information on cardiac health, thereby preventing specialists
Externí odkaz:
https://doaj.org/article/a91a100106cd4a32a3b7276989dfc5a9
Publikováno v:
Diagnostics, Vol 14, Iss 15, p 1589 (2024)
Noise in computed tomography (CT) is inevitably generated, which lowers the accuracy of disease diagnosis. The non-local means approach, a software technique for reducing noise, is widely used in medical imaging. In this study, we propose a noise red
Externí odkaz:
https://doaj.org/article/06a903ee53e042e0958ef72d9657ebd6
Publikováno v:
Photonics, Vol 11, Iss 7, p 645 (2024)
Real-time monitoring of heartbeat signals using multimode fiber optic microvibration sensing technology is crucial for diagnosing cardiovascular diseases, but the heartbeat signals are very weak and susceptible to noise interference, leading to inacc
Externí odkaz:
https://doaj.org/article/98945dc938474bc5a95af4f4b9a821f4
Autor:
Ji-Youn Kim
Publikováno v:
Diagnostics, Vol 14, Iss 13, p 1433 (2024)
Speckle noise in ultrasound images (UIs) significantly reduces the accuracy of disease diagnosis. The aim of this study was to quantitatively evaluate its feasibility in salivary gland ultrasound imaging by modeling the adaptive non-local means (NLM)
Externí odkaz:
https://doaj.org/article/aa79d5abdf1a4111b23e87848f3a0525
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 5, Iss 4, Pp 338-350 (2023)
Image denoising is an important topic in the digital image processing field. This paper theoretically studies the validity of the classical non-local mean filter (NLM) for removing Gaussian noise from a novel statistic perspective. By regarding the r
Externí odkaz:
https://doaj.org/article/9b8c428659f1445f9da4a6cf37297d60
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3392 (2024)
The aim of this study was to evaluate the application feasibility of the nonlocal means (NLM) noise reduction algorithm in low-dose computed tomography (CT) images using an advanced modeled iterative reconstruction (ADMIRE) iterative reconstruction t
Externí odkaz:
https://doaj.org/article/cedd334089cf44ebb82a9cc9e97c1fae
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 5, Pp 1527-1532 (2023)
The noise reduction algorithm using the non-local means (NLM) approach is very efficient in nuclear medicine imaging. In this study, the applicability of the NLM noise reduction algorithm in single-photon emission computed tomography (SPECT) images w
Externí odkaz:
https://doaj.org/article/35f966b50222478a99c13ef4b1f43e2b