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|Title:||Signal and image approximation using interval wavelet transform|
|Authors:||Lee, W.S. |
Wavelets on the interval
|Citation:||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|
|Appears in Collections:||Staff Publications|
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