Zobrazeno 1 - 10
of 20
pro vyhledávání: '"imaging model with noise"'
Autor:
Chenggang Dai, Mingxing Lin
Publikováno v:
IEEE Access, Vol 12, Pp 82427-82442 (2024)
Underwater images typically present poor visibility, color distortion, and noise, which limit the application in several high-level tasks of image analysis. To address these corruptions, a novel method is proposed to reconstruct high-quality underwat
Externí odkaz:
https://doaj.org/article/d6d30f5ce67a4febb38809877127ef21
Akademický článek
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Autor:
Li, Hongbing1,2 (AUTHOR), Zhang, Qunfei1 (AUTHOR) zhangqf@nwpu.edu.cn
Publikováno v:
Algorithms. Sep2022, Vol. 15 Issue 9, p306-306. 15p.
Publikováno v:
Journal of the Optical Society of America A: Optics, Image Science & Vision; May 2007, Vol. 24 Issue: 5 p1349-1357, 9p
Model-Based Optoacoustic Tomography Image Reconstruction With Non-local and Sparsity Regularizations
Autor:
Xipan Li, Li Qi, Shuangyang Zhang, Shixian Huang, Jian Wu, Lijun Lu, Yanqiu Feng, Qianjin Feng, Wufan Chen
Publikováno v:
IEEE Access, Vol 7, Pp 102136-102148 (2019)
Optoacoustic tomography (OAT) is an emerging imaging modality with ultrasonic imaging depth and optical contrast. The reconstruction of optoacoustic image is to recover the initial acoustic pressure distribution of the object from a set of ultrasound
Externí odkaz:
https://doaj.org/article/6d17198c9e894297956a9226be1610f3
Autor:
BOUDHANE, Mohcine, BALCERS, Ojars
Publikováno v:
Baltic Journal of Modern Computing; 2020, Vol. 8 Issue 1, p182-191, 10p
Publikováno v:
Multidimensional Systems & Signal Processing; Jan2020, Vol. 31 Issue 1, p1-20, 20p
Autor:
Hariharan, Sai Gokul, Kaethner, Christian, Strobel, Norbert, Kowarschik, Markus, DiNitto, Julie, Albarqouni, Shadi, Fahrig, Rebecca, Navab, Nassir
Publikováno v:
International Journal of Computer Assisted Radiology & Surgery; Jul2019, Vol. 14 Issue 7, p1117-1126, 10p
Publikováno v:
2014 IEEE International Conference on Computational Photography (ICCP); 2014, p1-9, 9p
Publikováno v:
3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006; 2006, p1012-1015, 4p