Multi-objective evolutionary algorithm based filters for image enhancement

Lifford McLauchlan; Mehrübe Mehrübeoğlu

doi:10.1117/12.821896

27 April 2009 Multi-objective evolutionary algorithm based filters for image enhancement

Proceedings Volume 7341, Visual Information Processing XVIII; 73410C (2009) https://doi.org/10.1117/12.821896
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Lifford McLauchlan and Mehrübe Mehrübeoğlu "Multi-objective evolutionary algorithm based filters for image enhancement", Proc. SPIE 7341, Visual Information Processing XVIII, 73410C (27 April 2009); https://doi.org/10.1117/12.821896

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