Zobrazeno 1 - 10
of 282
pro vyhledávání: '"Xuanqin Mou"'
Autor:
Congmin Chen, Xuanqin Mou
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2023, Iss 1, Pp 1-24 (2023)
Abstract Image quality assessment (IQA) has become a hot issue in the area of image processing, which aims to evaluate image quality automatically by a metric being consistent with subjective evaluation. The first stage of conventional IQA model desi
Externí odkaz:
https://doaj.org/article/9df6b4ed001b4dbdaab8712002ae009f
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 2439-2458 (2023)
Anti-vascular endothelial growth factor (Anti-VEGF) therapy has become a standard way for choroidal neovascularization (CNV) and cystoid macular edema (CME) treatment. However, anti-VEGF injection is a long-term therapy with expensive cost and may be
Externí odkaz:
https://doaj.org/article/48c2f4796d14424f82184402f8b43fcd
Autor:
Yihao Wang, Jianyu Chen, Xuanqin Mou, Tieqiao Chen, Junyu Chen, Jia Liu, Xiangpeng Feng, Haiwei Li, Geng Zhang, Shuang Wang, Siyuan Li, Yupeng Liu
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1248 (2024)
Although the fusion of multispectral (MS) and hyperspectral (HS) images in remote sensing has become relatively mature, and different types of fusion methods have their own characteristics in terms of fusion effect, data dependency, and computational
Externí odkaz:
https://doaj.org/article/33213b4e93214a8f9e8427abd1a30921
Publikováno v:
Tomography, Vol 8, Iss 5, Pp 2218-2231 (2022)
Interior tomography of X-ray computed tomography (CT) has many advantages, such as a lower radiation dose and lower detector hardware cost compared to traditional CT. However, this imaging technique only uses the projection data passing through the r
Externí odkaz:
https://doaj.org/article/a0cc96c72bfd47f99e81930e85b57ed6
Autor:
Wenting Shao, Xuanqin Mou
Publikováno v:
IEEE Access, Vol 9, Pp 133170-133184 (2021)
This paper proposes a general-purpose no-reference image quality assessment (NR-IQA) method that investigates the image’s structure information from a new aspect, i.e., the characteristic of image edge profiles that depict the directional property
Externí odkaz:
https://doaj.org/article/65a84f4037aa404999ad4ebc1c2f3cf0
Publikováno v:
IEEE Access, Vol 8, Pp 112910-112921 (2020)
With the introduction of cold electron sources such as nanotubes, X-ray sources became small in size so that many sources are installed in array to form stationary CT, which brings benefits of simplicity in mechanism and fast response. However, the n
Externí odkaz:
https://doaj.org/article/1821d09995684b408ddb7b6257ba5243
Publikováno v:
Canadian Journal of Remote Sensing, Vol 44, Iss 6, Pp 575-587 (2018)
Hyperspectral classification with limited training samples is challenging. The current work lies in two aspects: first, we change the statistical distribution of samples by iterative filtering based on the guide images. The filter is called a Simplif
Externí odkaz:
https://doaj.org/article/05de4abf5120402884b99e5aa0ff906a
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 547 (2021)
For both traditional classification and current popular deep learning methods, the limited sample classification problem is very challenging, and the lack of samples is an important factor affecting the classification performance. Our work includes t
Externí odkaz:
https://doaj.org/article/7a5dc84cc1c14ab489ae1e652f9fba05
Publikováno v:
Sensors, Vol 20, Iss 6, p 1647 (2020)
Low dose computed tomography (CT) has drawn much attention in the medical imaging field because of its ability to reduce the radiation dose. Recently, statistical iterative reconstruction (SIR) with total variation (TV) penalty has been developed to
Externí odkaz:
https://doaj.org/article/6aaab88c8c734be8bfbc42a67bf35ad8
Publikováno v:
IEEE Access, Vol 2, Pp 1680-1682 (2014)
X-ray computed tomography (CT) has a central role in clinical imaging, often as the first and only imaging study before definitive intervention for a wide variety of conditions. X-ray micro-CT is similarly important in preclinical imaging with anatom
Externí odkaz:
https://doaj.org/article/775b2ea4884e4fd782a0221ce3daf93f