Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIP.2006.884950
Title: Signal and image approximation using interval wavelet transform
Authors: Lee, W.S. 
Kassim, A.A. 
Keywords: Boundary filters
Image approximation
Wavelets on the interval
Issue Date: Feb-2007
Source: Lee, W.S., Kassim, A.A. (2007-02). Signal and image approximation using interval wavelet transform. IEEE Transactions on Image Processing 16 (1) : 46-56. ScholarBank@NUS Repository. https://doi.org/10.1109/TIP.2006.884950
Abstract: In signal approximation, classical wavelet synthesis are known to produce Gibbs-like phenomenon around discontinuities when wavelet coefficients in the cone of influence of the discontinuities are quantized. By analyzing a function in a piecewise manner, filtering across discontinuities can be avoided. Using this principle, the interval wavelet transform can generate sparser representations in the vicinity of discontinuities than classical wavelet transforms. This work introduces two new constructions of interval wavelets and shows how they can be used for image compression and upscaling. © 2006 IEEE.
Source Title: IEEE Transactions on Image Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/57394
ISSN: 10577149
DOI: 10.1109/TIP.2006.884950
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