Zobrazeno 1 - 10
of 62
pro vyhledávání: '"You-Wei Wen"'
Publikováno v:
Journal of Computational and Applied Mathematics. 429:115215
Publikováno v:
Inverse Problems. 39:045002
Orientation estimation is an important task in three-dimensional cryo-EM image reconstruction. By applying the common line method, the orientation estimation task can be formulated as a least squares (LS) problem or a least un-squared deviation (LUD)
Publikováno v:
Applied Mathematical Modelling. 68:353-367
Total variation regularized model is a powerful tool in image noise removal due to its edge-preserving property of an image. One important procedure in the model is to determine the regularization parameter which has an important role in balancing th
Autor:
You-Wei Wen, Huan Pan
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9789811627002
The problem of inverse source problem is considered in this paper. The main aim of this problem is to determine the source density function from the state function which is corrupted by uniform noise. Under the framework of maximum a posteriori estim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39147f6811efde489d65ebee97e32e35
https://doi.org/10.1007/978-981-16-2701-9_5
https://doi.org/10.1007/978-981-16-2701-9_5
Publikováno v:
Applied Mathematics and Computation. 414:126654
The Meyer model has been successfully applied to decompose cartoon component and texture component for the gray scale image, where the total variation (TV) norm and the G-norm are respectively modeled to capture the cartoon component and the texture
Publikováno v:
Journal of Scientific Computing. 85
The single particle reconstruction (SPR) in cryogenic electron microscopy is considered in this paper. This is an emerging technique for determining the three-dimensional (3D) structure of biological specimens from a limited number of the micrographs
Publikováno v:
Information Sciences. 429:147-163
Rank minimization problem has a wide range of applications in different areas. However, since this problem is NP-hard and non-convex, the frequently used method is to replace the matrix rank minimization with nuclear norm minimization. Nuclear norm i
Publikováno v:
Journal of Scientific Computing. 75:713-732
In this paper we study inverse problems where observations are corrupted by uniform noise. By using maximum a posteriori approach, an $$L_\infty $$ -norm constrained minimization problem can be formulated for uniform noise removal. The main difficult
Publikováno v:
Inverse Problems & Imaging. 15:519
Patch-based methods, which take the advantage of the redundancy and similarity among image patches, have attracted much attention in recent years. However, these methods are mainly limited to Gaussian noise removal. In this paper, the Poisson noise r