Zobrazeno 1 - 10
of 766
pro vyhledávání: '"Nonsubsampled Contourlet Transform"'
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Full-field optical angiography (FFOA)—a real-time non-invasive imaging technique for extracting biological blood microcirculation information—contributes to an in-depth understanding of the functional and pathological changes of biological tissue
Externí odkaz:
https://doaj.org/article/e66bb2083e4e4e56b007edb050116cdc
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 2, Pp 655-668 (2023)
In radiography, an antiscatter grid is a well-known device for eliminating unexpected x-ray scatter. We investigate a new stationary grid artifact suppression method based on a nonsubsampled contourlet transform (NSCT) incorporated with Gaussian band
Externí odkaz:
https://doaj.org/article/d4b86c1b10604bda91cc012a0dd8d2a9
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3008-3023 (2022)
Change detection in multitemporal synthetic aperture radar (SAR) images has been an important research content in the field of remote sensing for a long time. In this article, based on the slow feature analysis (SFA) theory and the nonsubsampled cont
Externí odkaz:
https://doaj.org/article/a85196e98ced48669e160e8e831a017a
Publikováno v:
Entropy, Vol 25, Iss 6, p 951 (2023)
Full-field optical angiography (FFOA) has considerable potential for clinical applications in the prevention and diagnosis of various diseases. However, owing to the limited depth of focus attainable using optical lenses, only information about blood
Externí odkaz:
https://doaj.org/article/bec6ee772c6240ed9f6bb1c5609637d0
Publikováno v:
IEEE Access, Vol 9, Pp 21708-21720 (2021)
In order to avoid the noise diffusion and amplification caused by traditional dehazing algorithms, a single image haze removal algorithm based on nonsubsampled contourlet transform (HRNSCT) is proposed. The HRNSCT removes haze only from the low-frequ
Externí odkaz:
https://doaj.org/article/1d49f9770a1a4b6c80197f0c6ffa0f5b
Autor:
Sangyoon Lee, Moon Gi Kang
Publikováno v:
IEEE Access, Vol 9, Pp 100637-100651 (2021)
Noise reduction is important for X-ray images because it can reduce radiation exposure to patients. X-ray image noise has a Poisson-Gaussian distribution, and recently, noise analysis and removal in multiscale transformations have been widely impleme
Externí odkaz:
https://doaj.org/article/7fb3eca639eb42c68e1b99520c0952bc
Publikováno v:
IEEE Access, Vol 9, Pp 91883-91895 (2021)
Although the traditional image fusion method can obtain rich image results, obvious artificial noise and artifacts are often present in the resulting image. Fusion algorithms based on neural networks can avoid the shortcomings of traditional methods,
Externí odkaz:
https://doaj.org/article/a8cb4e01861745e2b1734040770be952
Publikováno v:
IET Computer Vision, Vol 13, Iss 2, Pp 240-248 (2019)
The image fusion method based on sparse representation in the single‐scale image domain has produced better fusion results than the classic methods based on multi‐scale analysis nowadays. However, due to the limited number of dictionary atoms, it
Externí odkaz:
https://doaj.org/article/0185a08546d34ac8a61a2aefc6c46a91
Publikováno v:
Компьютерная оптика, Vol 43, Iss 1, Pp 123-131 (2019)
Remote sensing image fusion is very important for playing the advantages of a variety of remote sensing data. However, remote sensing image fusion is large in computing capacity and time consuming. In this paper, in order to fuse remote sensing image
Externí odkaz:
https://doaj.org/article/7e775a979d9e453293f627f623355852