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Proceedings Paper

Morphological paradigm for loss-function-based design of digital filters
Author(s): Edward R. Dougherty; Junior Barrera
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Paper Abstract

Statistically based automatic design of nonlinear image processing algorithms has been used successfully for binary image enhancement, specifically in restoration and resolution conversion of documents. The present paper introduces an extension of the methodology in two directions. First, it proposes to use the representation- optimization paradigm for general algorithm development in the context of system transformations. Second, it employs a statistical loss function to generalize the mean-absolute- error approach taken in previous work.

Paper Details

Date Published: 26 June 1996
PDF: 8 pages
Proc. SPIE 2753, Visual Information Processing V, (26 June 1996); doi: 10.1117/12.243577
Show Author Affiliations
Edward R. Dougherty, Rochester Institute of Technology (United States)
Junior Barrera, Univ. de Sao Paulo (Brazil)

Published in SPIE Proceedings Vol. 2753:
Visual Information Processing V
Richard D. Juday; Stephen K. Park, Editor(s)

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