Hexagonally symmetric orthogonal filters with $$\sqrt{3}$$ refinement-Reference-Cited by-同舟云学术

Hexagonally symmetric orthogonal filters with $$\sqrt{3}$$ refinement

Published:2020-07-14 Issue:1 Volume:32 Page:217-238
ISSN:0923-6082
Container-title:Multidimensional Systems and Signal Processing
language:en
Short-container-title:Multidim Syst Sign Process

Author:

Krivoshein Aleksandr^ORCID

Funder

Russian Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software

Link

https://link.springer.com/content/pdf/10.1007/s11045-020-00735-y.pdf

Reference24 articles.

1. Allen, J. D. (2005). Perfect reconstruction filter banks for the hexagon grid. In 5th International conference on information communications signal processing (pp. 73–76).

2. Cohen, A., & Schlenker, J. M. (1993). Compactly supported bidimensional wavelet bases with hexagonal symmetry. Constructive Approximation, 9, 209–236.

3. Condat, L., Van De Ville, D., & Blu, T. (2005). Hexagonal versus orthogonal lattices: A new comparison using approximation theory. IEEE International Conference on Image Processing, 2005(3), 1116–1119.

4. Fujinoki, K., & Ishimitsu, S. (2013). Triangular biorthogonal wavelets with extended lifting. International Journal of Wavelets, Multiresolution and Information Processing, 11(4), 1360002.

5. Fujinoki, K., & Vasilyev, O. V. (2009). Triangular wavelets: An isotropic image representation with hexagonal symmetry. EURASIP Journal on Image and Video Processing, 2009, 248581. https://doi.org/10.1155/2009/248581.

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