Analytical design methods for directional Gaussian 2D FIR filters-Reference-Cited by-同舟云学术

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Analytical design methods for directional Gaussian 2D FIR filters

Published:2016-10-04 Issue:1 Volume:29 Page:185-211
ISSN:0923-6082
Container-title:Multidimensional Systems and Signal Processing
language:en
Short-container-title:Multidim Syst Sign Process

Author:

Matei Radu^ORCID

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s11045-016-0458-4/fulltext.html

Reference21 articles.

1. Charalampidis, D. (2009). Efficient directional Gaussian smoothers. IEEE Geoscience and Remote Sensing Letters, 6(3), 383–387. doi: 10.1109/LGRS.2009.2014397 .

2. Chen, C. K., & Lee, J. H. (1994). McClellan transform based design techniques for two-dimensional linear-phase FIR filters. IEEE Transactions on Circuits and Systems I, 41(8), 505–517. doi: 10.1109/81.311540 .

3. Geusebroek, J. M., Smeulders, A. W. M., & van de Weijer, J. (2003). Fast anisotropic Gauss filtering. IEEE Transactions on Image Processing, 12(8), 938–943. doi: 10.1109/TIP.2003.812429 .

4. Harn, L., & Shenoi, B. A. (1986). Design of stable two-dimensional IIR filters using digital spectral transformations. IEEE Transactions on Circuits and Systems, 33(5), 483–490. doi: 10.1109/TCS.1986.1085949 .

5. Horng, Y. R., Tseng, Y. C. & Chang, T. S. (2010). Stereoscopic images generation with directional Gaussian filter. IEEE International Symposium on Circuits and Systems ISCAS 2010, 30 May–2 June, 2010, Paris (pp. 2650–2653). doi: 10.1109/ISCAS.2010.5537052 .

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