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 :
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