Multicriteria approach to 2D image de-noising by means of Łukasiewicz algebra with square root

Title:

Multicriteria approach to 2D image de-noising by means of Łukasiewicz algebra with square root

Creator:

Majerová, Dana and Kukal, Jaromír

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:f2a7e655-ce32-4033-9524-c1b12bf5ae59
uuid:f2a7e655-ce32-4033-9524-c1b12bf5ae59

Subject:

Lukasiewicz algebra, fuzzy image processing, image de-noising, multicriteria decision-making, Pareto optimality, and AIA method

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The image de-noising is a practical application of image processing. Both linear and nonlinear filters are ušed for the noise reduction. The filters which are realizable in Lukasiewicz algebra with square root were analyzed first and then they were used for the 2D image de-noising. There is a set of quality measures recommended for the evaluation of de-noising quality. In čase of various quality measures we can find the best filter. The Pareto optimality principle and the AIA technique were used for this purpose. The procedures were demonstrated on a set of MRI biomedical images.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2002 Volume:12 | Number:4

Harvested from:

CDK

Metadata only:

false