Please use this identifier to cite or link to this item:
https://doi.org/10.1109/83.951535
| Title: | Lagrange wavelets for signal processing | Authors: | Shi, Z. Wei, G.W. Kouri, D.J. Hoffman, D.K. Bao, Z. |
Keywords: | Distributed approximating functionals Generalized Lagrange wavelets Softer logic masking Visual group normalization |
Issue Date: | Oct-2001 | Citation: | Shi, Z., Wei, G.W., Kouri, D.J., Hoffman, D.K., Bao, Z. (2001-10). Lagrange wavelets for signal processing. IEEE Transactions on Image Processing 10 (10) : 1488-1508. ScholarBank@NUS Repository. https://doi.org/10.1109/83.951535 | Abstract: | This paper deals with the design of interpolating wavelets based on a variety of Lagrange functions, combined with novel signal processing techniques for digital imaging. Halfband Lagrange wavelets, B-spline Lagrange wavelets and Gaussian Lagrange [Lagrange distributed approximating functional (DAF)] wavelets are presented as specific examples of the generalized Lagrange wavelets. Our approach combines the perceptually dependent visual group normalization (VGN) technique and a softer logic masking (SLM) method. These are utilized to rescale the wavelet coefficients, remove perceptual redundancy and obtain good visual performance for digital image processing. | Source Title: | IEEE Transactions on Image Processing | URI: | http://scholarbank.nus.edu.sg/handle/10635/104808 | ISSN: | 10577149 | DOI: | 10.1109/83.951535 |
| Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.