Zobrazeno 1 - 10
of 9 783
pro vyhledávání: '"image noise"'
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112367- (2024)
Prior research on vegetation indices (VIs) to estimate species diversity in forest and grassland ecosystems has shown limitations when applied to wetland ecosystems due to their complex structure. Consequently, the predictive capacity of various VIs
Externí odkaz:
https://doaj.org/article/684344e40a8f485e8df52006d7ca1596
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 55, Iss 1, Pp 1-15 (2024)
Abstract Objective To compare the image quality of normal anatomical structures and radiation dose on low-dose (LDCT) and standard-dose (SDCT) temporal bone CT in children. Methods The study included 45 LDCT (80 kV and 130 mAs) and 45 SDCT (120 kV an
Externí odkaz:
https://doaj.org/article/544ac3c6210647ebbd2c1d61e4b0de98
Autor:
Bolin ZHANG, Chuntao ZHU, Qilin YIN, Jingqiao FU, Lingyi LIU, Jiarui LIU, Hongmei LIU, Wei LU
Publikováno v:
网络与信息安全学报, Vol 9, Pp 155-165 (2023)
With the advancement of artificial intelligence and deep neural networks, the ease of image generation and editing has increased significantly.Consequently, the occurrence of malicious tampering and forgery using image generation tools is on the rise
Externí odkaz:
https://doaj.org/article/fdb4dd9f322c48bf9802e3a8c85d3a85
Autor:
Andrea Cozzi, Maurizio Cè, Giuseppe De Padova, Dario Libri, Nazarena Caldarelli, Fabio Zucconi, Giancarlo Oliva, Michaela Cellina
Publikováno v:
Tomography, Vol 9, Iss 5, Pp 1629-1637 (2023)
This exploratory retrospective study aims to quantitatively compare the image quality of unenhanced brain computed tomography (CT) reconstructed with an iterative (AIDR-3D) and a deep learning-based (AiCE) reconstruction algorithm. After a preliminar
Externí odkaz:
https://doaj.org/article/c953e4f99d914230bf5fe2ee6a1a85fd
Autor:
Chen Xinrui
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper first classifies the image noise and evaluates the image quality by means of the correlation function, mean square error value, and fidelity. Secondly, an image adaptive threshold denoising system based on wavelet transform is constructed,
Externí odkaz:
https://doaj.org/article/ee2ca558d9c34d689cbe58148aa3c4dd
Autor:
Jaime A. Peña, Laura Klein, Joscha Maier, Timo Damm, Heinz-Peter Schlemmer, Klaus Engelke, Claus-Christian Glüer, Marc Kachelrieß, Stefan Sawall
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 32, Iss 4, Pp 403-416 (2022)
Photon-counting (PC) detectors for clinical computed tomography (CT) may offer improved imaging capabilities compared to conventional energy-integrating (EI) detectors, e.g. superior spatial resolution and detective efficiency. We here investigate if
Externí odkaz:
https://doaj.org/article/c1f55543b6424e0b8fd1dfabb291725e
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundDeep learning technology has been widely applied to medical image analysis. But due to the limitations of its own imaging principle, ultrasound image has the disadvantages of low resolution and high Speckle Noise density, which not only hin
Externí odkaz:
https://doaj.org/article/e1935d50d72e498ebe1bf278182968bd
Akademický článek
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Publikováno v:
Heliyon, Vol 9, Iss 3, Pp e14431- (2023)
In the field of digital signal processing, image denoising is an more and more significant research direction. For the traditional noise reduction theory, noise is considered to be harmful, and the image quality can be improved by analyzing noise cha
Externí odkaz:
https://doaj.org/article/ab4b933169b5449d978d4c938c7f992b
Publikováno v:
Biomedicines, Vol 11, Iss 10, p 2740 (2023)
Identifying and managing osteosarcoma pose significant challenges, especially in resource-constrained developing nations. Advanced diagnostic methods involve isolating the nucleus from cancer cells for comprehensive analysis. However, two main challe
Externí odkaz:
https://doaj.org/article/ee1b16e60db54c4ba30565de806d42f5