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
Link To Document :
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