Sensor Signal and Information Processing III
[...]the preliminary estimation with the dynamical model of the receiver’s motion are used to obtain the final estimation. In a similar development, Kim and Kudo [12] have proposed a new class of nonlocal Total Variation (TV), in which the first derivative and the second derivative are mixed. Since...
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| Published in | Sensors (Basel, Switzerland) Vol. 20; no. 23; p. 6749 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
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26.11.2020
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| Abstract | [...]the preliminary estimation with the dynamical model of the receiver’s motion are used to obtain the final estimation. In a similar development, Kim and Kudo [12] have proposed a new class of nonlocal Total Variation (TV), in which the first derivative and the second derivative are mixed. Since most existing TV only considers the first-order derivative, it suffers from problems such as staircase artifacts and loss in smooth intensity changes for textures and low-contrast objects, which is a major limitation in improving image quality. [...]an improved modality independent neighborhood descriptor (MIND) based on the foveated nonlocal self-similarity is designed for effective structural representations. [...]the accurate and efficient 3D medical image registration is realized by minimizing the similarity measure-based MRF energy function. |
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| AbstractList | [...]the preliminary estimation with the dynamical model of the receiver’s motion are used to obtain the final estimation. In a similar development, Kim and Kudo [12] have proposed a new class of nonlocal Total Variation (TV), in which the first derivative and the second derivative are mixed. Since most existing TV only considers the first-order derivative, it suffers from problems such as staircase artifacts and loss in smooth intensity changes for textures and low-contrast objects, which is a major limitation in improving image quality. [...]an improved modality independent neighborhood descriptor (MIND) based on the foveated nonlocal self-similarity is designed for effective structural representations. [...]the accurate and efficient 3D medical image registration is realized by minimizing the similarity measure-based MRF energy function. |
| Author | Woo, Wai Lok Gao, Bin |
| AuthorAffiliation | 1 Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK 2 School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; bin_gao@uestc.edu.cn |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33255890$$D View this record in MEDLINE/PubMed |
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| Title | Sensor Signal and Information Processing III |
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