Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/103303
Title: From Gaussian scale-space to B-spline scale-space
Authors: Wang, Yu-Ping 
Lee, S.L. 
Issue Date: 1999
Citation: Wang, Yu-Ping,Lee, S.L. (1999). From Gaussian scale-space to B-spline scale-space. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 6 : 3441-3444. ScholarBank@NUS Repository.
Abstract: The Gaussian kernel has long been used in the classical multiscale analysis. The purpose of the paper is to propose the uniform B-spline as an alternative for the visual modeling. A general framework for various scale-space representations is formulated using the B-spline approach. In particular, the evolution of the wavelet models can be well understood from such an approach. Most of the wavelet representations can be factored into B-spline bases and hence can be implemented efficiently using the spline technique. Besides, it is shown that the B-spline scale-space representations not only inherit most of the properties of the Gaussian scale-space but also have many advantages with respect to the efficiency, compactness and parallel structure.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/103303
ISSN: 07367791
Appears in Collections:Staff Publications

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