DocumentCode
467791
Title
Image Deblurring with Odd Symmetry Discrete Neumann Boundary Condition
Author
Chen, Fen ; Yu, Li
Author_Institution
Univ. of Electron. Sci. & Technol. of China, Chengdu
Volume
3
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
1749
Lastpage
1752
Abstract
In the work [1], Michael K. NG et al introduced Neumann boundary condition (BC) for blurring models and provided fast algorithms for image deblurring. Whereas only even symmetric discrete Neumann BC was discussed in their paper. We present in this paper odd symmetric discrete Neumann BC for image deblurring and its corresponding diagonalization algorithm as a supplement to their work. Numerical results are given for comparison. Our work could illustrate that discrete approximations of each continuous problem would bring a new level of variety and complexity, often in the boundary conditions.
Keywords
boundary-value problems; image restoration; matrix algebra; diagonalized transform matrix; image deblurring; odd symmetry discrete Neumann boundary condition; Automation; Boundary conditions; Cybernetics; Degradation; Discrete cosine transforms; Educational institutions; Image processing; Image restoration; Machine learning; Symmetric matrices; Deblurring; Discrete cosine transform; Even symmetry; Neumann boundary condition; Odd symmetry;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370430
Filename
4370430
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