Soft morphological filter optimization using a genetic algorithm for noise elimination

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Soft morphological filter optimization using a genetic algorithm for noise elimination

Digital image quality is of importance in almost all image processing applications. Many different approaches have been proposed for restoring the image quality depending on the nature of the degradation. One of the most common problems that cause such degradation is impulse noise. In general, well...

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Bibliographic Details
Main Authors:	Ercal, Turker, Özcan, Ender, Asta, Shahriar
Format:	Conference or Workshop Item
Published:	2014
Subjects:	Filter Design Supervised Learning Genetic Algo- rithm Image Processing.
Online Access:	https://eprints.nottingham.ac.uk/34403/

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