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Volume 3, Issue 2
Inverse Eigenvalue Problem of Generalized Centro-anti-symmetric Matrices

J. Info. Comput. Sci. , 3 (2008), pp. 104-110.

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  • Abstract
TV minimizing based PDE models have been proved to be the most effective tool for image restoration. However for many applications, it is desirable to reduce or remove the staircasing effect of a TV solution to restore more realistic contrast, features, geometry and textures. In this paper, we propose and investing a bounded constrained regularization technique to improve the TV solution. A numerical method about the partial differential equations is attempted. Notable improvements are obtained by numerical experiments. AMS subject classification: 68U10, 65K10
  • Keywords

Bound constrained, total variation, image denoising, PDE.

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COPYRIGHT: © Global Science Press

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@Article{JICS-3-104, author = {}, title = {Inverse Eigenvalue Problem of Generalized Centro-anti-symmetric Matrices}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {3}, number = {2}, pages = {104--110}, abstract = { TV minimizing based PDE models have been proved to be the most effective tool for image restoration. However for many applications, it is desirable to reduce or remove the staircasing effect of a TV solution to restore more realistic contrast, features, geometry and textures. In this paper, we propose and investing a bounded constrained regularization technique to improve the TV solution. A numerical method about the partial differential equations is attempted. Notable improvements are obtained by numerical experiments. AMS subject classification: 68U10, 65K10 }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22773.html} }
TY - JOUR T1 - Inverse Eigenvalue Problem of Generalized Centro-anti-symmetric Matrices AU - JO - Journal of Information and Computing Science VL - 2 SP - 104 EP - 110 PY - 2024 DA - 2024/01 SN - 3 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22773.html KW - Bound constrained, total variation, image denoising, PDE. AB - TV minimizing based PDE models have been proved to be the most effective tool for image restoration. However for many applications, it is desirable to reduce or remove the staircasing effect of a TV solution to restore more realistic contrast, features, geometry and textures. In this paper, we propose and investing a bounded constrained regularization technique to improve the TV solution. A numerical method about the partial differential equations is attempted. Notable improvements are obtained by numerical experiments. AMS subject classification: 68U10, 65K10
. (2024). Inverse Eigenvalue Problem of Generalized Centro-anti-symmetric Matrices. Journal of Information and Computing Science. 3 (2). 104-110. doi:
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