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Proceedings Paper

Multiresolution filter design
Author(s): Edward R. Dougherty; Junior Barrera; Gerard Mozelle; Seungchan Kim; Marcel Brun
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Paper Abstract

The performance of a designed digital filter is measured by the sum of the errors of the optimal filter and the estimation error. Viewing an image at a high resolution results in optimal filters having smaller errors than at lower resolutions; however, higher resolutions bring increased estimation error. Hence, choosing an appropriate resolution for filter design is important. This paper discusses estimation of optimal filters in a pyramidal multiresolution framework. To take advantage of data at all resolutions, one can use a hybrid multiresolution design. In hybrid design, a sequence of filters is designed using data at increasing resolutions. With hybrid multiresolution design, the value of the designed filter at a given observation is based on the highest resolution at which conditioning by the observation is considered significant.

Paper Details

Date Published: 3 March 2000
PDF: 10 pages
Proc. SPIE 3961, Nonlinear Image Processing XI, (3 March 2000); doi: 10.1117/12.379392
Show Author Affiliations
Edward R. Dougherty, Texas A&M Univ. (United States)
Junior Barrera, Univ. de Sao Paulo (Brazil)
Gerard Mozelle, Texas A&M Univ. (France)
Seungchan Kim, Texas A&M Univ. (United States)
Marcel Brun, Univ. de Sao Paulo (Brazil)

Published in SPIE Proceedings Vol. 3961:
Nonlinear Image Processing XI
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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