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Proceedings Paper

Multi-objective evolutionary algorithm based filters for image enhancement
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Paper Abstract

Multi-objective evolutionary algorithms (MOEAs) have been utilized in many fields to optimize designs and constraints using biologically inspired methods. In this research, MOEAs are used to determine more optimal DCT based filter coefficient sets in order to enhance images under various image processing attacks and functions. The filter coefficients are adapted to minimize the mean squared error and to remove noise-induced artifacts. The capabilities of the proposed enhanced image filters are demonstrated on multiple digital images.

Paper Details

Date Published: 27 April 2009
PDF: 8 pages
Proc. SPIE 7341, Visual Information Processing XVIII, 73410C (27 April 2009); doi: 10.1117/12.821896
Show Author Affiliations
Lifford McLauchlan, Texas A&M Univ., Kingsville (United States)
Mehrübe Mehrübeoğlu, Texas A&M Univ, Corpus Christi (United States)

Published in SPIE Proceedings Vol. 7341:
Visual Information Processing XVIII
Zia-Ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)

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