DocumentCode
1208828
Title
A note on cubic convolution interpolation
Author
Meijering, Erik ; Unser, Michael
Author_Institution
Biomed. Imaging Group, Swiss Fed. Inst. of Technol., Lausanne, Switzerland
Volume
12
Issue
4
fYear
2003
fDate
4/1/2003 12:00:00 AM
Firstpage
477
Lastpage
479
Abstract
We establish a link between classical osculatory interpolation and modern convolution-based interpolation and use it to show that two well-known cubic convolution schemes are formally equivalent to two osculatory interpolation schemes proposed in the actuarial literature about a century ago. We also discuss computational differences and give examples of other cubic interpolation schemes not previously studied in signal and image processing.
Keywords
convolution; image processing; interpolation; polynomials; computational differences; cubic convolution interpolation; image processing; osculatory interpolation; polynomial interpolation methods; signal processing; Biomedical computing; Biomedical imaging; Convolution; Image processing; Interpolation; Kernel; Lagrangian functions; Mathematics; Polynomials; Signal processing;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2003.811493
Filename
1201129
Link To Document