| A. Mertins, "Optimized biorthogonal shape adaptive wavelets," in Proc. Int. Conf. Image Processing, Chicago, IL, Oct. 1998. |
....is important to notice that the above considerations regarding perfect reconstruction and vanishing moments only hold for infinitely sized signals. For signals of finite size, special processing steps have to be applied in the boundary regions in order to result in a support preservative transform [3, 4, 5, 6, 7, 8, 9, 10, 11, 12]. The problem of recovering moment properties in the boundary regions has been raised in [10] where boundary filters were designed in such a way that several moment conditions are satisfied by the analysis filters, resulting in wavelets that allow time scale image analysis with low boundary ....
....that allow time scale image analysis with low boundary distortion. For compression purposes, however, the properties of the synthesis functions are as important as those of the analysis ones. Thus, both sides should be considered jointly when designing boundary filters. This has been done in [12], where the recovery of moments was combined with the energy normalization of the boundary filters, resulting in almost unitary shape adaptive wavelets with arbitrary approximation order. The almostunitary behavior is important in order to equalize the propagation of quantization errors from the ....
A. Mertins, "Optimized biorthogonal shape adaptive wavelets," in Proc. ICIP'98, Chicago, October 1998.
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A. Mertins, "Optimized biorthogonal shape adaptive wavelets," in Proc. Int. Conf. Image Processing, Chicago, IL, Oct. 1998.
No context found.
A. Mertins, Optimized biorthogonal shape adaptive wavelets, in "Proc. ICIP'98, Chicago, IL, October 1998."
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