DocumentCode
3480536
Title
Interpolation of signals by generalized piecewise-linear multiple generators
Author
Ichige, Koichi ; Blu, Thierry ; Unser, Michael
Author_Institution
Dept. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan
Volume
6
fYear
2003
fDate
6-10 April 2003
Abstract
This paper presents an interpolation method based on shifted versions of two piecewise linear generators, which provides approximation order 2 like usual piecewise-linear interpolation; i.e., this method is able to represent the constant and the ramp exactly. Our interpolation is characterized by two real parameters: τ, the location of the generators, and α, related to their dissymmetry. By varying these parameters, we show that it is possible to optimize the quality of the approximation, independently of the function to interpolate. We recover the optimal value of shifted-linear interpolation (τ = 0.21 and α = 1) which requires IIR prefiltering, but we also find a new configuration (τ = 0.21 and α = 0.58) which reaches almost the same quality, while requiring FIR filtering only. This new solution is able to greatly reduce the amount of Gibbs oscillations generated in the shifted-linear interpolation scheme. We validate our finding by computing the PSNR of the difference between multi-rotated images and their original version.
Keywords
FIR filters; IIR filters; interpolation; optimisation; piecewise linear techniques; signal representation; FIR filtering; Gibbs oscillations; IIR prefiltering; PSNR; dissymmetry; generalized piecewise-linear multiple generators; multi-rotated images; optimization; original version; shifted versions; shifted-linear interpolation; signal representation; Biomedical imaging; Character generation; Filtering; Finite impulse response filter; IIR filters; Interpolation; PSNR; Piecewise linear approximation; Piecewise linear techniques; Signal generators;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-7663-3
Type
conf
DOI
10.1109/ICASSP.2003.1201668
Filename
1201668
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